CN109711849B - Ether house address portrait generation method and device, electronic equipment and storage medium - Google Patents
Ether house address portrait generation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a method and a device for generating an Ether house address portrait, electronic equipment and a storage medium, and belongs to the technical field of computer application. Wherein, the method comprises the following steps: acquiring current content data in the Ethernet workshop network from the Ethernet workshop nodes; analyzing the content data to determine basic data in the Ethernet workshop; sorting the basic data to determine basic information corresponding to each Ethernet workshop address in the Ethernet workshop network; and identifying the basic information of each Ether house address to determine a characteristic index set corresponding to each Ether house address. Therefore, by the ether house address portrait generation method, the address of each ether house is portrait, so that the risk address and abnormal transaction in the ether house can be identified through the portrait of the address of the ether house, and the safety and reliability of the ether house network are improved.
Description
Technical Field
The present application relates to the field of computer application technologies, and in particular, to a method and an apparatus for generating an etherhouse address representation, an electronic device, and a storage medium.
Background
With the continuous development of internet technology, the internet is no longer just a medium for people-to-people communication, and work, study, entertainment, shopping and the like by using the internet are the normal state of the information society. Meanwhile, the internet brings about a new market, the market is a virtual market based on a network space, the existence form of the money is more virtual, and the virtual money which is free from any things and only exists in the form of electronic signals appears. The virtual currency greatly breaks through the space-time limitation of the real world, and the virtual currency is used for online consumption more and more conveniently and quickly. By using virtual currency to obtain services or for entertainment consumption, the user may obtain a better experience.
Virtual currency in the internet has a large investment potential, and more people want to increase value of own wealth by investing the virtual currency. An Etherum (Etherum) is an open-source public blockchain platform with an intelligent contract function, and provides an decentralized Ethernet Virtual Machine (Etherum Virtual Machine) to process point-to-point contracts through a special encryption currency Etherum (Ether), so that the Etherum solves the problem of poor expansibility of a bit currency network.
However, due to the characteristics of decentralization, anonymous transaction and the like of the ethernet archways, the real identity information of the ethernet address holder cannot be known generally, so that difficulties are brought to address risk identification and abnormal transaction detection of the ethernet archways.
Disclosure of Invention
The method, the device, the electronic equipment and the storage medium for generating the ether house address portrait are used for solving the problem that the real identity information of an ether house address holder cannot be known usually due to the characteristics of decentralization, anonymous transaction and the like of the ether house in the related technology, so that the address risk identification and abnormal transaction detection of the ether house are difficult.
An embodiment of the application provides a method for generating an etherhouse address portrait, including: acquiring current content data in the Ethernet workshop network from the Ethernet workshop nodes; analyzing the content data to determine basic data in the Ethernet workshop network; sorting the basic data to determine basic information corresponding to each Ethernet shop address in the Ethernet shop network; and identifying the basic information of each Ether house address to determine a characteristic index set corresponding to each Ether house address.
Optionally, in a possible implementation form of the embodiment of the first aspect, the identifying the basic information of each ethernet bay address to determine a feature indicator set corresponding to each ethernet bay address includes:
and identifying the basic information of each Ethernet house address by using a preset RFM model so as to determine the freshness, the activity and the transaction amount corresponding to each Ethernet house address.
Optionally, in another possible implementation form of the embodiment of the first aspect, the identifying the basic information of each ethernet bay address to determine a feature indicator set corresponding to each ethernet bay address includes:
and identifying the basic information of each Ethernet shop address by using a preset graph model so as to determine the transaction behavior network, the exit degree, the entrance degree and the ranking corresponding to each Ethernet shop address.
Optionally, in another possible implementation form of the embodiment of the first aspect, after the determining the feature index set corresponding to each ethernet bay address, the method further includes:
and determining the type of each Ether house address according to the characteristic index set corresponding to each Ether house address.
Optionally, in another possible implementation form of the embodiment of the first aspect, after the determining the feature index set corresponding to each ethernet bay address, the method further includes:
determining a portrait index set corresponding to each Ethernet workshop address according to the mapping relation between each preset portrait index and the characteristic index set corresponding to each Ethernet workshop address, wherein the portrait index set comprises at least one of the following indexes: developer index, qualification index, activity index, local tyrant index, concentration index, and influence index.
Optionally, in another possible implementation form of the embodiment of the first aspect, after determining the basic data in the ethernet workshop network, the method further includes:
crawling the linked data related to the basic data according to the basic data;
the determining the basic information corresponding to each ethernet house address in the ethernet house network includes:
and sorting the basic data and the down-link data to determine the basic information corresponding to each Ether house address.
Optionally, in another possible implementation form of the embodiment of the first aspect, the crawling, according to the basic data, the down-link data related to the basic data includes:
and crawling project information, token data and distributed application related to the basic data according to address information in the basic data.
Another aspect of the present application provides an ethernet house address portrait generating apparatus, including: the acquisition module is used for acquiring current content data in the Ethernet workshop network from the Ethernet workshop nodes; the first determining module is used for analyzing the content data to determine basic data in the Ethernet workshop network; the second determining module is used for sorting the basic data to determine basic information corresponding to each Ethernet workshop address in the Ethernet workshop network; and the third determining module is used for identifying the basic information of each Ethernet workshop address so as to determine the characteristic index set corresponding to each Ethernet workshop address.
Optionally, in a possible implementation form of the embodiment of the second aspect, the third determining module includes:
the first determining unit is used for identifying the basic information of each Ethernet house address by using a preset RFM model so as to determine the freshness, the activity and the transaction amount corresponding to each Ethernet house address.
Optionally, in another possible implementation form of the embodiment of the second aspect, the third determining module includes:
and the second determining unit is used for identifying the basic information of each Ethernet shop address by using a preset graph model so as to determine the transaction behavior network, the degree of departure, the degree of entrance and the ranking corresponding to each Ethernet shop address.
Optionally, in another possible implementation form of the embodiment of the second aspect, the apparatus further includes:
and the fourth determining module is used for determining the type of each Ethernet workshop address according to the characteristic index set corresponding to each Ethernet workshop address.
Optionally, in another possible implementation form of the embodiment of the second aspect, the apparatus further includes:
a fifth determining module, configured to determine, according to a mapping relationship between each preset portrait indicator and a feature indicator set corresponding to each ethernet workshop address, a portrait indicator set corresponding to each ethernet workshop address, where the portrait indicator set includes at least one of the following indicators: developer index, qualification index, activity index, local tyrant index, concentration index, and influence index.
Optionally, in another possible implementation form of the embodiment of the second aspect, the apparatus further includes:
the crawling module is used for crawling the linked data related to the basic data according to the basic data;
the second determining module includes:
and the third determining unit is used for sorting the basic data and the down-link data so as to determine the basic information corresponding to each ether house address.
Optionally, in another possible implementation form of the embodiment of the second aspect, the crawling module includes:
and the crawling unit is used for crawling project information, token data and distributed application related to the basic data according to the address information in the basic data.
An embodiment of another aspect of the present application provides an electronic device, which includes: memory, processor and computer program stored on the memory and executable on the processor, wherein the processor implements the etherhouse address representation generation method as described above when executing the program.
In another aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the etherhouse address representation generating method as described above.
In another aspect of the present application, a computer program is provided, which is executed by a processor to implement the method for generating an etherhouse address representation according to the embodiment of the present application.
According to the ether house address portrait generating method, device, electronic device, computer readable storage medium and computer program provided by the embodiment of the application, the current content data in the ether house network can be acquired from the ether house nodes, the content data is analyzed to determine the basic data in the ether house network, then the basic data is sorted to determine the basic information corresponding to each ether house address in the ether house network, and further the basic information of each ether house address is identified to determine the characteristic index set corresponding to each ether house address. Therefore, the content data in the Ethernet workshop network is analyzed and sorted to determine the characteristic index set corresponding to each Ethernet workshop address, namely, each Ethernet workshop address is imaged, so that the risk address and the abnormal transaction in the Ethernet workshop can be identified through the images of the Ethernet workshop addresses, and the safety and the reliability of the Ethernet workshop network are improved.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic flow chart illustrating a method for generating an address representation of an Ethernet room according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart illustrating another EtherFang address portrait generation method according to an embodiment of the present disclosure;
FIG. 3 is a schematic structural diagram of an ether house address portrait generation apparatus according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the like or similar elements throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
The embodiment of the application provides a method for generating an Etherhouse address portrait, aiming at the problem that in the related technology, due to the characteristics of decentralization, anonymous transaction and the like of the Etherhouse, the real identity information of an Ethernet address holder cannot be known generally, so that the difficulty is brought to address risk identification and abnormal transaction detection of the Etherhouse.
According to the ether house address portrait generation method provided by the embodiment of the application, the current content data in the ether house network can be obtained from the ether house nodes, the content data is analyzed to determine the basic data in the ether house network, then the basic data is sorted to determine the basic information corresponding to each ether house address in the ether house network, and then the basic information of each ether house address is identified to determine the characteristic index set corresponding to each ether house address. Therefore, the content data in the Ethernet workshop network is analyzed and sorted to determine the characteristic index set corresponding to each Ethernet workshop address, namely, each Ethernet workshop address is imaged, so that the risk address and the abnormal transaction in the Ethernet workshop can be identified through the images of the Ethernet workshop addresses, and the safety and the reliability of the Ethernet workshop network are improved.
The ether house address portrait generating method, apparatus, electronic device, storage medium, and computer program provided by the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a schematic flowchart of a method for generating an etherhouse address portrait according to an embodiment of the present disclosure.
As shown in fig. 1, the method for generating an etherhouse address portrait includes the following steps:
The Etherum (Etherum) is an open-source public block chain platform with an intelligent contract function, and a decentralized Ethernet Virtual Machine (Etherum Virtual Machine) is provided by the Etherum (Ether) to process point-to-point contracts, so that the Etherum solves the problem of poor expansibility of a bit currency network.
The block chain refers to a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. The consensus mechanism is a mathematical algorithm for establishing trust and obtaining rights and interests among different nodes in the blockchain system. Blockchains are an important concept of virtual currency, which is essentially a decentralized database and also serves as the underlying technology for virtual currency. The block chain is a series of data blocks generated by using a cryptographic method for correlation, each data block comprises information of one virtual currency network transaction, and the information is used for verifying the validity (anti-counterfeiting) of the information and generating the next block, and each block comprises a time stamp and a link with the previous block. In a narrow sense, a blockchain is a distributed ledger of data blocks assembled in a sequential manner into a chain data structure in chronological order and cryptographically secured as non-falsifiable and non-forgeable, i.e. the data in the blockchain will be irreversible once recorded.
The current content data in the ethernet workshop network refers to transaction data recorded in each current block in the ethernet workshop network.
It should be noted that, in this embodiment of the present application, an ethernet house node may be first established and added to an ethernet house network, and then current content data in the ethernet house network is obtained through the established ethernet house node, that is, data in an ethernet house block chain is synchronized to obtain each transaction data sent in the ethernet house network.
And 102, analyzing the content data to determine basic data in the Ethernet workshop network.
In the embodiment of the application, after the current content data in the ethernet workshop network is acquired through the ethernet workshop node, the acquired content data can be analyzed, that is, the data extraction, analysis, conversion and loading are performed on the acquired content data through the ethernet workshop interface, so that useless data in the acquired content data are removed, and basic data in the ethernet workshop network is determined. The basic data may include, among others, ethernet block data (block), transaction data (transaction), receipt data (copies), log data (logs), contract data (contact), token data (token), and the like.
The ethernet address refers to a user identifier in the ethernet. It will be appreciated that each etherhouse address corresponds to a user account and all data relating to that user is associated with its corresponding etherhouse address. However, due to the characteristics of decentralization and anonymization of the ethernet archway, the information related to the user identity cannot be acquired in the ethernet archway network, so in the embodiment of the application, the ethernet archway address in the ethernet archway network can be used for representing the user in the ethernet archway network.
In the embodiment of the application, after the obtained current content data in the ethernet workshop network is analyzed and the basic data in the ethernet workshop network is determined, the basic data can be sorted according to the address information included in the basic data to determine the basic information corresponding to each ethernet workshop address in the ethernet workshop network, that is, the basic information corresponding to each user in the ethernet workshop network. For example, the underlying information corresponding to each ethernet house address may include transaction data, receipt data, log data, contract data, token data, etc. corresponding to each ethernet house address.
Specifically, after the basic data in the ethernet workshop network is sorted, the determined basic information corresponding to each ethernet workshop address in the ethernet workshop network may include: the method comprises the steps of establishing a contract number of an ether house address and an ether house address, last account-entering time, last account-out time, first account-entering time, first account-out time, 1 day account-entering times, 7 day account-entering times, 30 day account-entering times, 180 day account-entering times, historical account-entering times, 1 day account-exiting times, 7 day account-exiting times, 30 day account-exiting times, 180 day account-exiting times, historical account-exiting times, 1 day account-entering amount, 7 day account-entering amount, 30 day account-entering amount, 180 day account-entering amount, all account-entering amount, maximum account-entering amount, 1 day transfer-out amount, 7 day transfer-out amount, 30 day transfer-out amount, 180 day transfer-out amount, all transfer-out amount and maximum one transfer-out amount.
It should be noted that the basic information corresponding to each ethernet house address in the ethernet house network may include, but is not limited to, the above listed situations. During actual use, the dimensionality of the basic information corresponding to the Ethernet house address can be preset according to actual needs, so that the Ethernet house address portrait meeting the actual needs and expected can be generated.
And 104, identifying the basic information of each ether house address to determine a characteristic index set corresponding to each ether house address.
The characteristic index set corresponding to the Ethernet house address comprises a plurality of characteristic indexes which can describe the historical transaction state of the Ethernet house address.
In the embodiment of the application, after the basic information of each ethernet house address in the ethernet house network is determined, the basic information of each ethernet house address can be identified, that is, the basic information of each ethernet house address is subjected to statistical analysis, and a characteristic index set corresponding to each ethernet house address is determined.
Specifically, the basic information of the ether house addresses can be identified through the RFM model, so as to determine a feature index set corresponding to each ether house address. That is, in a possible implementation form of the embodiment of the present application, the step 104 may include:
and identifying the basic information of each Ethernet house address by using a preset RFM model so as to determine the freshness, the activity and the transaction amount corresponding to each Ethernet house address.
The RFM model is an important tool and means for measuring the value and profit-making ability of the client. Among the numerous modes of analysis for Customer Relationship Management (CRM), the RFM model is widely mentioned. The mechanical model describes the value condition of a customer by three indexes of recent purchasing behavior, the overall frequency of purchases and how much money is spent of the customer.
The freshness corresponding to the ether house address is related to the last transaction time of the ether house address and the creation time of the ether house address. Specifically, the larger the time interval between the last transaction time of the ether house address and the current time is, the lower the freshness corresponding to the ether house address is; the time interval between the last transaction time of the ether house address and the current time is smaller, and the freshness corresponding to the ether house address is higher; the larger the time interval between the creation time of the ether house address and the current moment is, the lower the freshness corresponding to the ether house address is; the smaller the time interval between the creation time of the ether house address and the current time is, the higher the freshness corresponding to the ether house address is.
The activity corresponding to the Ethernet workshop address is related to the transaction frequency of the Ethernet workshop address, and the lower the transaction frequency of the Ethernet workshop address is, the lower the activity corresponding to the Ethernet workshop address is; the higher the transaction frequency of the ether house address is, the higher the activity corresponding to the ether house address is.
The transaction amount corresponding to the Ethernet house address is related to the historical transaction amount of the Ethernet house address, and the larger the historical transaction amount of the Ethernet house address is, the larger the transaction amount corresponding to the Ethernet house address is; the smaller the historical transaction amount of the Ethernet house address is, the smaller the transaction amount corresponding to the Ethernet house address is.
It can be understood that the freshness, the liveness and the transaction amount corresponding to the ether house address can describe the historical transaction behavior of the ether house address from multiple dimensions, and therefore, the ether house address can be used as a characteristic index in a characteristic index set corresponding to the ether house address to describe the portrait of the ether house address.
In a possible implementation form of the embodiment of the application, the basic information of each ethernet house address can be identified through a preset RFM model, so as to determine the freshness, the activity and the transaction amount of each ethernet house address. Specifically, the freshness corresponding to the ether house address can be determined according to the creation time, the last intake time and the last discharge time of the ether house address, that is, the time with a smaller time interval from the current time in the last intake time and the last discharge time can be determined as the last transaction time of the ether house address, and the freshness corresponding to the ether house address can be determined according to the last transaction time and the creation time of the ether house address; determining the activity corresponding to the Ethernet house address according to the historical account-in times and the historical account-out times of the Ethernet house address; and determining the transaction amount corresponding to the Ethernet house address according to all the intake amount and all the roll-out amount of the Ethernet house address.
It should be noted that the freshness, activity and transaction amount corresponding to the ether house address may include multiple levels. Specifically, the freshness level, the activity level and the transaction amount level corresponding to each ether house address can be determined according to the basic information of the ether house address. The smaller the time interval between the last transaction time of the Ethernet shop address and the current moment is, the higher the freshness grade corresponding to the Ethernet shop address is; the higher the historical account-in times and the historical account-out times of the Ethernet workshop address are, the higher the activity corresponding to the Ethernet workshop address is; the larger all the income amount and all the transfer-out amount of the Ethernet workshop address are, the larger the transaction amount corresponding to the Ethernet workshop address is.
During actual use, the freshness, the activity and the grade number included by the transaction amount corresponding to the Ethernet workshop address and the corresponding relation between the basic information corresponding to the Ethernet workshop and the freshness, the activity and the grade of the transaction amount corresponding to the Ethernet workshop address can be preset according to actual needs, and the embodiment of the application does not limit the freshness, the activity and the grade. For example, the freshness, activity and transaction amount corresponding to the ether house address can be divided into 5 levels.
It should be noted that the method for identifying the basic information of the ethernet workshop address and the feature indexes included in the feature index set corresponding to the ethernet workshop address may be preset according to actual needs, which is not limited in the embodiment of the present application.
Further, after the feature index set corresponding to each ether house address is determined, the type of each ether house address can be determined according to the feature index set corresponding to each ether house address. That is, in a possible implementation form of the embodiment of the present application, after the step 104, the method may include:
and determining the type of each Ether house address according to the characteristic index set corresponding to each Ether house address.
The type of the ether house address may include whether the ether house address is a special exchange address, a type of the exchange, whether the ether house address is an abnormal special address, and an abnormal type.
It should be noted that the type of etherhouse address may include, but is not limited to, the above listed cases. In actual use, the type of the ethernet house address may be preset according to actual service scene characteristics, which is not limited in the embodiment of the present application.
In a possible implementation form of the embodiment of the application, a mapping relationship between the address type of each ethernet bay and the feature index set may be preset, and the type of each ethernet bay address may be determined according to the determined feature index set corresponding to each ethernet bay address and the preset mapping relationship between the address type of each ethernet bay and the feature index set.
For example, the feature index set corresponding to the ethernet house address includes freshness, activity and transaction amount index corresponding to the ethernet house address. Then, the mapping relationship between the ether house address type and the feature index set, which is used for judging whether the type of the ether house address is an abnormal address, may be preset as follows: the address of the corresponding Ether house with the transaction limit larger than the threshold value is an abnormal address, and the abnormal type is transaction limit abnormality.
It should be noted that the above examples are only illustrative and should not be construed as limiting the present application. In actual use, the mapping relationship between the type of the ether house address and the feature index set can be preset according to actual needs, which is not limited in the embodiment of the present application.
In another possible implementation form of the embodiment of the application, a feature index set corresponding to the ethernet workshop address may be further identified through a preset identification model, so as to determine the type of each ethernet workshop address. Specifically, a large amount of content data can be obtained from the ethernet workshop network, the obtained content data is sorted and identified, a characteristic index set corresponding to each ethernet workshop address is determined, and each ethernet workshop address is manually marked, wherein the marking information includes the type of the ethernet workshop address. And then, taking the characteristic index set corresponding to each ether house address and the manual marking information as training data to train so as to obtain a recognition model. When the type corresponding to the ether house address is determined, the feature index set corresponding to the determined ether house address can be directly input into a preset recognition model, and the type of the ether house address can be determined according to the output of the recognition model.
According to the ether house address portrait generation method provided by the embodiment of the application, the current content data in the ether house network can be obtained from the ether house nodes, the content data is analyzed to determine the basic data in the ether house network, then the basic data is sorted to determine the basic information corresponding to each ether house address in the ether house network, and then the basic information of each ether house address is identified to determine the characteristic index set corresponding to each ether house address. Therefore, the content data in the Ethernet workshop network is analyzed and sorted to determine the characteristic index set corresponding to each Ethernet workshop address, namely, each Ethernet workshop address is imaged, so that the risk address and the abnormal transaction in the Ethernet workshop can be identified through the images of the Ethernet workshop addresses, and the safety and the reliability of the Ethernet workshop network are improved.
In a possible implementation form of the embodiment of the application, the basic information of each ethernet bay address in the ethernet bay network can be perfected according to the linked data related to the basic data in the ethernet bay network, and the portrait index set of each ethernet bay address is determined according to the determined feature index set corresponding to each ethernet bay address, so as to generate the portrait of each ethernet bay address.
The method for generating an etherhouse address portrait according to the embodiment of the present application is further described below with reference to fig. 2.
FIG. 2 is a flowchart illustrating another EtherFang address portrait generation method according to an embodiment of the present disclosure.
As shown in fig. 2, the method for generating an etherhouse address portrait includes the following steps:
The detailed implementation process and principle of the steps 201-202 can refer to the detailed description of the above embodiments, and are not described herein again.
And step 203, crawling the linked data related to the basic data according to the basic data.
And 204, sorting the basic data and the down-link data to determine basic information corresponding to each Ether house address.
It should be noted that, in order to ensure the richness of the obtained basic information corresponding to each ethernet workshop address and improve the accuracy of generating the ethernet workshop address portrait, not only the on-link data in the ethernet workshop network can be obtained from the ethernet workshop block chain, but also the off-link data related to the basic data obtained from the ethernet workshop network can be obtained from other channels.
Specifically, the link-down data can be crawled from third-party applications, token data, and project information related to the basic data in the ethernet workshop network according to the obtained basic data in the ethernet workshop network. That is, in a possible implementation form of the embodiment of the present application, step 203 may include:
and crawling project information, token data and distributed application related to the basic data according to address information in the basic data.
The address information in the basic data refers to an ether house address corresponding to the basic data.
It should be noted that, according to the address information included in the basic data, item information related to the ethernet house address (e.g., item information of participation or investment in the ethernet house address), token data corresponding to the ethernet house address, distributed application used by the ethernet house address, and the like may be determined, and the item information, the token data, and the distributed application that match the address information in the basic data may be crawled from the network as the linked data related to the basic data in the ethernet house network.
In a possible implementation form of the embodiment of the application, after the basic data in the ethernet workshop network and the downlink data related to the basic data are determined, the basic data and the downlink data related to the basic data may be sorted according to the address information in the basic data to determine the basic information corresponding to each ethernet workshop address in the ethernet workshop network, that is, the basic information corresponding to each user in the ethernet workshop network. For example, the underlying information corresponding to each ethernet house address may include transaction data, receipt data, log data, contract data, token data, etc. corresponding to each ethernet house address.
Specifically, after the basic data in the ethernet workshop network is sorted, the determined basic information corresponding to each ethernet workshop address in the ethernet workshop network may include: the method comprises the steps of establishing a contract number of an ether house address and an ether house address, last account-entering time, last account-out time, first account-entering time, first account-out time, 1 day account-entering times, 7 day account-entering times, 30 day account-entering times, 180 day account-entering times, historical account-entering times, 1 day account-exiting times, 7 day account-exiting times, 30 day account-exiting times, 180 day account-exiting times, historical account-exiting times, 1 day account-entering amount, 7 day account-entering amount, 30 day account-entering amount, 180 day account-entering amount, all account-entering amount, maximum account-entering amount, 1 day transfer-out amount, 7 day transfer-out amount, 30 day transfer-out amount, 180 day transfer-out amount, all transfer-out amount and maximum one transfer-out amount.
It should be noted that the basic information corresponding to each ethernet house address in the ethernet house network may include, but is not limited to, the above listed situations. During actual use, the dimensionality of the basic information corresponding to the Ethernet house address can be preset according to actual needs, so that the Ethernet house address portrait meeting the actual needs and expected can be generated.
In the embodiment of the application, after the basic information of each ethernet bay address in the ethernet bay network is determined, the basic information of each ethernet bay address can be identified, that is, the basic information of each ethernet bay address is subjected to statistical analysis, and a characteristic index set corresponding to each ethernet bay address is determined, so as to describe the transaction data corresponding to each ethernet bay address.
In a possible implementation form of the embodiment of the application, a preset RFM model may be utilized to identify basic information of each ethernet house address, and determine freshness, activity and transaction amount corresponding to each ethernet house address, so that a feature index set of each ethernet house address is formed according to the freshness, activity and transaction amount corresponding to each ethernet house address.
Further, the basic information corresponding to the ether house address can be identified through the graph model so as to determine indexes such as a transaction behavior network, a degree of departure, a degree of entrance, ranking and the like corresponding to the ether house address. That is, in a possible implementation form of the embodiment of the present application, step 205 may include:
and identifying the basic information of each Ethernet shop address by using a preset graph model so as to determine the transaction behavior network, the exit degree, the entrance degree and the ranking corresponding to each Ethernet shop address.
The graph model refers to a graph composed of points and lines and used for describing the system. The graph model belongs to a structural model and can be used for describing a large number of things and relationships between things in the nature and the human society. The use of graph models in modeling may utilize graph theory as a tool. Analysis by the nature of the graph provides an efficient method for studying various systems, particularly complex systems. The figures constituting the graphical model are different from general geometric figures. For example, each of its edges may be weighted to form a weighted graph. The rights may take on certain values to indicate distance, flow, cost, etc.
In the embodiment of the application, a construction mode of the graph model can be preset, and the preset graph model is used for identifying the basic information corresponding to each ether house address, that is, the preset graph model is used for representing the basic information corresponding to each ether house address. For example, the preset graph model may be a graph model in which a node represents an ethernet address; the directed line segments between the nodes in the graph model are used for representing transaction records between the Ethernet house addresses, namely the directed line segments pointing to one node represent the charging records of the Ethernet house addresses corresponding to the node, and the directed line segments pointing to other nodes represent the charging records of the node; the weight of the directed line segment is used to represent the transaction amount and the like corresponding to the directed line segment.
It should be noted that after the basic information corresponding to each ethernet house address is represented by the preset graph model, the transaction object and the transaction amount corresponding to each ethernet house address can be visually determined according to the graph model, so that the transaction behavior network, the degree of departure, the degree of entrance and the rank corresponding to each ethernet house address can be determined through the preset graph model.
The transaction behavior network corresponding to the ethernet bay address may include an account-out transaction object list, an account-out contract type transaction object list (call contract list), an account-out token type transaction object address list (token address list), an account-out distributed application type transaction object list (used distributed application list), an account-out token type transaction object name list (token list), the number of transacted tokens, the number of account-out transaction objects, the number of transacted contracts, the number of transacted distributed applications, a transfer-in object list, a transfer-in address number, and the like corresponding to the ethernet bay address.
The out degree corresponding to the Ethernet house address refers to all the transfer-out amount corresponding to the Ethernet house address; the entrance degree corresponding to the Ethernet workshop address refers to all the intake amount corresponding to the Ethernet workshop address; the rank corresponding to the ether house address may be a web page rank (PageRank) corresponding to the ether house address, and may be determined by the number of directed line segments pointing to the node corresponding to the ether house address in the directed graph and the importance of each ether house address pointing to the ether house node.
In a possible implementation form of the embodiment of the application, after identifying the basic information corresponding to each ether house address and determining the feature index set corresponding to each ether house address, an image of the ether house address can be generated according to the feature index set corresponding to the ether house address. Specifically, the portrait index set corresponding to each ether house address can be determined according to a preset mapping relationship between the portrait index and the feature index set corresponding to each ether house address. The portrait indexes corresponding to the ether house addresses are centralized and can comprise developer indexes, qualification indexes, activity indexes, local tyrant indexes, concentration indexes, influence indexes and the like.
It should be noted that the developer index corresponding to the ethernet bay address is mainly related to the contract number index created by the ethernet bay address, that is, the more the contract number created by the ethernet bay address is, the higher the developer index is; conversely, the lower the developer index. The resource depth index/age index corresponding to the Ethernet bay address is mainly related to the account access time index corresponding to the Ethernet bay address, namely, the larger the time interval between the account access time corresponding to the Ethernet bay address and the current time is, the higher the resource depth index corresponding to the Ethernet bay address is; conversely, the lower the value of the figure of merit. The active index corresponding to the Ethernet workshop address is mainly related to the account access times index corresponding to the Ethernet workshop address, namely the more the account access times corresponding to the Ethernet workshop address are, the higher the active index corresponding to the Ethernet workshop address is; conversely, the lower the activity index. The local tyrant index corresponding to the ether house address is mainly related to the account in and out amount index corresponding to the ether house address, namely the larger the account in and out amount corresponding to the ether house address is, the higher the local tyrant index corresponding to the ether house address is; conversely, the lower the tyrant index. Concentration indexes corresponding to the ether house addresses are mainly related to the types and the number of the transaction objects corresponding to the ether house addresses, namely the types and the number of the transaction objects corresponding to the ether house addresses are smaller, and the concentration indexes corresponding to the ether house addresses are higher; conversely, the lower the concentration index. The influence index corresponding to the Ether house address is mainly related to the PageRank rank of the Ether house address in the trading network, namely the higher the PageRank rank of the Ether house address in the trading network is, the higher the influence index corresponding to the Ether house address is; conversely, the lower the impact index.
It should be noted that the portrait index set corresponding to the ether house address may include, but is not limited to, the above listed cases. In practical use, the portrait index set corresponding to the ether house address can be preset according to actual needs to generate an ether house address portrait of an actual service scene, which is not limited in the embodiment of the present application.
In a possible implementation form of the embodiment of the application, after the portrait index set corresponding to each ether house address is determined, the item information meeting the portrait index set corresponding to each ether house address is recommended for each ether house address according to the portrait index set corresponding to each ether house address, so that not only can the content interested by a user be accurately recommended, but also ether house items can be better promoted.
The method for generating the ether house address portrait provided by the embodiment of the application can be used for analyzing and processing current content data in an ether house network obtained from ether house nodes to determine basic data in the ether house network, crawling offline data related to the basic data according to the basic data, sorting the basic data and the offline data to determine basic information corresponding to each ether house address, further identifying the basic information of each ether house address to determine a feature index set corresponding to each ether house address, and determining an index set corresponding to each ether house address according to a mapping relation between each preset portrait index and the feature index set corresponding to each ether house address. Therefore, the basic data in the Ethernet workshop network and the linked data related to the basic data are analyzed and sorted to determine the characteristic index set corresponding to each Ethernet workshop address, the image index set corresponding to each Ethernet workshop address is determined according to the characteristic index set corresponding to each Ethernet workshop address, namely, each Ethernet workshop address is imaged, so that the risk address and abnormal transaction in the Ethernet workshop can be identified through the image of the Ethernet workshop address, the safety and reliability of the Ethernet workshop network are improved, the project information conforming to the image of the Ethernet workshop address can be accurately recommended, the popularization of Ethernet projects is facilitated, and the user experience is improved.
In order to implement the above embodiments, the present application further provides an ethernet address portrait generation apparatus.
FIG. 3 is a schematic structural diagram of an Etherhouse address portrait generation apparatus according to an embodiment of the present disclosure.
As shown in fig. 3, the ether house address figure generation device 30 includes:
an obtaining module 31, configured to obtain current content data in the ethernet workshop network from the ethernet workshop node;
a first determining module 32, configured to perform parsing processing on the content data to determine basic data in the ethernet workshop;
a second determining module 33, configured to sort the basic data to determine basic information corresponding to each ethernet house address in the ethernet house network;
and a third determining module 34, configured to identify the basic information of each ethernet bay address to determine a feature indicator set corresponding to each ethernet bay address.
In practical use, the ether house address portrait generating apparatus provided in the embodiment of the present application may be configured in any electronic device to execute the ether house address portrait generating method.
The ether house address portrait generation device provided by the embodiment of the application can acquire current content data in an ether house network from ether house nodes, analyze and process the content data to determine basic data in the ether house network, arrange the basic data to determine basic information corresponding to each ether house address in the ether house network, and further identify the basic information of each ether house address to determine a characteristic index set corresponding to each ether house address. Therefore, the content data in the Ethernet workshop network is analyzed and sorted to determine the characteristic index set corresponding to each Ethernet workshop address, namely, each Ethernet workshop address is imaged, so that the risk address and the abnormal transaction in the Ethernet workshop can be identified through the images of the Ethernet workshop addresses, and the safety and the reliability of the Ethernet workshop network are improved.
In a possible implementation form of the present application, the third determining module 34 includes:
the first determining unit is used for identifying the basic information of each Ethernet house address by using a preset RFM model so as to determine the freshness, the activity and the transaction amount corresponding to each Ethernet house address.
Further, in another possible implementation form of the present application, the third determining module 34 further includes:
and the second determining unit is used for identifying the basic information of each Ethernet shop address by using a preset graph model so as to determine the transaction behavior network, the degree of departure, the degree of entrance and the ranking corresponding to each Ethernet shop address.
In one possible implementation form of the present application, the etherhouse address portrait generation apparatus 30 further includes:
and the fourth determining module is used for determining the type of each Ethernet workshop address according to the characteristic index set corresponding to each Ethernet workshop address.
Further, in another possible implementation form of the present application, the etherhouse address representation generating device 30 further includes:
a fifth determining module, configured to determine, according to a mapping relationship between each preset portrait indicator and a feature indicator set corresponding to each ethernet workshop address, a portrait indicator set corresponding to each ethernet workshop address, where the portrait indicator set includes at least one of the following indicators: developer index, qualification index, activity index, local tyrant index, concentration index, and influence index.
Further, in another possible implementation form of the present application, the etherhouse address portrait creation apparatus 30 further includes:
the crawling module is used for crawling the linked data related to the basic data according to the basic data;
accordingly, the second determining module 33 further includes:
and the third determining unit is used for sorting the basic data and the down-link data so as to determine the basic information corresponding to each ether house address.
Further, in another possible implementation form of the present application, the crawling module includes:
and the crawling unit is used for crawling project information, token data and distributed application related to the basic data according to the address information in the basic data.
It should be noted that the foregoing explanation of the embodiment of the ether house address image generation method shown in fig. 1 and fig. 2 is also applicable to the ether house address image generation apparatus 30 of this embodiment, and is not repeated here.
The ether house address portrait generation device provided in the embodiment of the application may perform parsing processing on current content data in an ether house network acquired from an ether house node to determine basic data in the ether house network, crawl data related to the basic data according to the basic data, sort the basic data and the data under the link to determine basic information corresponding to each ether house address, further identify the basic information of each ether house address to determine a feature index set corresponding to each ether house address, and determine a portrait index set corresponding to each ether house address according to a mapping relationship between each preset portrait index and the feature index set corresponding to each ether house address. Therefore, the basic data in the Ethernet workshop network and the linked data related to the basic data are analyzed and sorted to determine the characteristic index set corresponding to each Ethernet workshop address, the image index set corresponding to each Ethernet workshop address is determined according to the characteristic index set corresponding to each Ethernet workshop address, namely, each Ethernet workshop address is imaged, so that the risk address and abnormal transaction in the Ethernet workshop can be identified through the image of the Ethernet workshop address, the safety and reliability of the Ethernet workshop network are improved, the project information conforming to the image of the Ethernet workshop address can be accurately recommended, the popularization of Ethernet projects is facilitated, and the user experience is improved.
In order to implement the above embodiments, the present application further provides an electronic device.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
As shown in fig. 4, the electronic device 200 includes:
a memory 210 and a processor 220, a bus 230 connecting different components (including the memory 210 and the processor 220), wherein the memory 210 stores a computer program, and when the processor 220 executes the program, the etherhouse address portrait generation method according to the embodiment of the present application is implemented.
A program/utility 280 having a set (at least one) of program modules 270, including but not limited to an operating system, one or more application programs, other program modules, and program data, each of which or some combination thereof may comprise an implementation of a network environment, may be stored in, for example, the memory 210. The program modules 270 generally perform the functions and/or methodologies of the embodiments described herein.
The processor 220 executes various functional applications and data processing by executing programs stored in the memory 210.
It should be noted that, for the implementation process and the technical principle of the electronic device of this embodiment, reference is made to the foregoing explanation of the method for generating the ethernet frame address image in the embodiment of the present application, and details are not described here again.
The electronic device provided by the embodiment of the application may execute the method for generating the ether house address portrait as described above, may obtain current content data in the ether house network from the ether house nodes, and perform analysis processing on the content data to determine basic data in the ether house network, and then sort the basic data to determine basic information corresponding to each ether house address in the ether house network, and further identify the basic information of each ether house address to determine a feature index set corresponding to each ether house address. Therefore, the content data in the Ethernet workshop network is analyzed and sorted to determine the characteristic index set corresponding to each Ethernet workshop address, namely, each Ethernet workshop address is imaged, so that the risk address and the abnormal transaction in the Ethernet workshop can be identified through the images of the Ethernet workshop addresses, and the safety and the reliability of the Ethernet workshop network are improved.
In order to implement the above embodiments, the present application also proposes a computer-readable storage medium.
The computer readable storage medium stores thereon a computer program, and the computer program is executed by a processor to implement the method for generating an etherhouse address representation according to the embodiment of the present application.
In order to implement the foregoing embodiments, a further embodiment of the present application provides a computer program, which when executed by a processor, implements the etherhouse address representation generating method according to the embodiments of the present application.
In an alternative implementation, the embodiments may be implemented in any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the consumer electronic device, partly on the consumer electronic device, as a stand-alone software package, partly on the consumer electronic device and partly on a remote electronic device, or entirely on the remote electronic device or server. In the case of remote electronic devices, the remote electronic devices may be connected to the consumer electronic device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external electronic device (e.g., through the internet using an internet service provider).
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (14)
1. A method for generating an address image of an Ethernet workshop is characterized by comprising the following steps:
acquiring current content data in the Ethernet workshop network from the Ethernet workshop nodes;
analyzing the content data to determine basic data in the Ethernet workshop network;
sorting the basic data to determine basic information corresponding to each Ether house address in the Ether house network, wherein the Ether house address comprises a user identifier in the Ether house network, each Ether house address corresponds to a user account, and data related to the user account is associated with the Ether house address;
identifying basic information of each Ethernet shop address to determine a characteristic index set corresponding to each Ethernet shop address, wherein the characteristic index set comprises a plurality of characteristic indexes describing historical transaction states of the Ethernet shop address, the characteristic indexes comprise freshness, liveness and transaction amount corresponding to the Ethernet shop address, and/or the characteristic indexes comprise transaction behavior network, departure degree, entrance degree and ranking corresponding to the Ethernet shop address, and the freshness, liveness and transaction amount corresponding to the Ethernet shop address comprise a plurality of levels;
determining a portrait index set corresponding to each Ethernet workshop address according to the mapping relation between each preset portrait index and the characteristic index set corresponding to each Ethernet workshop address, wherein the portrait index set comprises at least one of the following indexes: developer index, qualification index, activity index, local tyrant index, concentration index, and influence index.
2. The method of claim 1, wherein the identifying the base information of each etherhouse address to determine the feature index set corresponding to each etherhouse address comprises:
and identifying the basic information of each Ethernet house address by using a preset RFM model so as to determine the freshness, the activity and the transaction amount corresponding to each Ethernet house address.
3. The method of claim 1, wherein the identifying the base information of each etherhouse address to determine the feature index set corresponding to each etherhouse address comprises:
and identifying the basic information of each Ethernet shop address by using a preset graph model so as to determine the transaction behavior network, the exit degree, the entrance degree and the ranking corresponding to each Ethernet shop address.
4. The method of claim 1, wherein after determining the set of characteristic metrics corresponding to each etherhouse address, further comprising:
and determining the type of each Ether house address according to the characteristic index set corresponding to each Ether house address.
5. The method of any of claims 1-4, wherein after determining the underlying data in the Ethernet network, further comprising:
crawling the linked data related to the basic data according to the basic data;
the determining the basic information corresponding to each ethernet house address in the ethernet house network includes:
and sorting the basic data and the down-link data to determine the basic information corresponding to each Ether house address.
6. The method of claim 5, wherein crawling, from the base data, down-link data related to the base data comprises:
and crawling project information, token data and distributed application related to the basic data according to address information in the basic data.
7. An ether house address portrait generation device, comprising:
the acquisition module is used for acquiring current content data in the Ethernet workshop network from the Ethernet workshop nodes;
the first determining module is used for analyzing the content data to determine basic data in the Ethernet workshop network;
a second determining module, configured to sort the basic data to determine basic information corresponding to each ethernet shop address in the ethernet shop network, where the ethernet shop address includes a user identifier in the ethernet shop network, each ethernet shop address corresponds to a user account, and data related to the user account is associated with the ethernet shop address;
a third determining module, configured to identify basic information of each ethernet bay address to determine a feature indicator set corresponding to each ethernet bay address, where the feature indicator set includes a plurality of feature indicators describing a historical transaction state of the ethernet bay address, where the feature indicators include freshness, liveness, and transaction amount corresponding to the ethernet bay address, and/or the feature indicators include a transaction behavior network, an appearance degree, an entrance degree, and a ranking corresponding to the ethernet bay address, and the freshness, the liveness, and the transaction amount corresponding to the ethernet bay address include a plurality of levels;
a fifth determining module, configured to determine, according to a mapping relationship between each preset portrait indicator and a feature indicator set corresponding to each ethernet workshop address, a portrait indicator set corresponding to each ethernet workshop address, where the portrait indicator set includes at least one of the following indicators: developer index, qualification index, activity index, local tyrant index, concentration index, and influence index.
8. The apparatus of claim 7, wherein the third determination module comprises:
the first determining unit is used for identifying the basic information of each Ethernet house address by using a preset RFM model so as to determine the freshness, the activity and the transaction amount corresponding to each Ethernet house address.
9. The apparatus of claim 7, wherein the third determination module comprises:
and the second determining unit is used for identifying the basic information of each Ethernet shop address by using a preset graph model so as to determine the transaction behavior network, the degree of departure, the degree of entrance and the ranking corresponding to each Ethernet shop address.
10. The apparatus of claim 7, further comprising:
and the fourth determining module is used for determining the type of each Ethernet workshop address according to the characteristic index set corresponding to each Ethernet workshop address.
11. The apparatus of any of claims 7-10, further comprising:
the crawling module is used for crawling the linked data related to the basic data according to the basic data;
the second determining module includes:
and the third determining unit is used for sorting the basic data and the down-link data so as to determine the basic information corresponding to each ether house address.
12. The apparatus of claim 11, wherein the crawling module comprises:
and the crawling unit is used for crawling project information, token data and distributed application related to the basic data according to the address information in the basic data.
13. An electronic device, comprising: memory, processor and program stored on the memory and executable on the processor, characterized in that the processor implements the etherhouse address representation generation method as claimed in any one of claims 1 to 6 when executing the program.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the etherhouse address representation generation method according to any one of claims 1 to 6.
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| CN111008872B (en) * | 2019-12-16 | 2022-06-14 | 华中科技大学 | User portrait construction method and system suitable for Ether house |
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| CN108647962A (en) * | 2018-04-27 | 2018-10-12 | 腾讯科技（深圳）有限公司 | Credit investigation system, the storage method of collage-credit data, device, equipment and medium |
| KR20180129027A (en) * | 2017-05-24 | 2018-12-05 | 라온시큐어(주) | Authentification methods and system based on programmable blockchain and one-id |
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| CN108564469A (en) * | 2018-04-11 | 2018-09-21 | 北京奇虎科技有限公司 | Representation data acquisition methods, device and the computing device of block chain node |
| CN108647962A (en) * | 2018-04-27 | 2018-10-12 | 腾讯科技（深圳）有限公司 | Credit investigation system, the storage method of collage-credit data, device, equipment and medium |
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