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Paper influence analysis of a Paper Citation Network (PCN) is an indispensable technique to support fancy literature management system. Currently, it is challenging to find representative papers in an ocean of papers. This paper proposes a ranking-based ...

Healthcare and technology have a long history of interaction but eHealth adoption has been delayed due to a lack of infrastructure, capacity, and political will. It is called a health information technology system (HITS) or smart health system (...

The delivery of ranked relevant results is probably the most important factor in making a web search engine acceptable to its users. This inspiration has led the search engine engineers and researchers to conceive ranking algorithms ...

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• Cancer driver gene detection is one of the most important issues in oncology studies.

Cancer is among the diseases causing death, in which, cells uncontrollably grow and reproduce beyond the cell regulatory mechanism. In this disease, some genes are initiators of abnormalities and then transmit them to other genes ...

New characteristics of nodes of network structures are proposed and researched in this work - the relaxation time of network and the individual relaxation time of node. The so-called decelerated iteration algorithms for HITS and PageRank are used to ...

• sNorm(p) is a novel system model, designed for efficient ranking of web resources.

In the whole world, the internet is exercised by millions of people every day for information retrieval. Even for a small to smaller task like fixing a fan, to cook food or even to iron clothes persons opt to search the web. To fulfill ...

 Quantitative methods for determining the quality of scientific publications evolved gradually from popularity methods to prestige methods. However, existing methods have some drawbacks, such as inability to account for important factors and mutual ...

Predicting essential proteins helps us to understand the minimum requirements for cell survival and development. Benefiting from large-scale Protein-Protein interaction (PPI) data, many computation-based methods have been designed to identify essential ...

Link analysis method in general and Hyperlink-Induced Topic Search (HITS) algorithm in particular is used for analyzing graph in many important contexts, including ranking search results based on the hyperlink structure of the World Wide Web and privacy ...

The popularity of location-based social networks (LBSN) provides us with a new perspective for understanding people's travel behaviours and enables a lot of location-based services, such as point of interest (POI) recommendation. However, personalized ...

Important journals usually guide the research and development directions in academic circles. Therefore, it is necessary to find the important journals among a number of academic journals. This study presents a model named the multiple-link, mutually ...

In the era of big data, facing vast amounts of network data, only identifying the reliable data source can the researchers extract the original data that can be used in scientific research. Building reliable network data mining model based on the ...

An intelligent clustering algorithm named DBSCAN-M is proposed for the purpose of data mining, which improves the recognition rate of noise under the circumstance of high noise density forming new clusters. The proposed algorithm is a synthesis of ...

In this work, we show how social network analysis can be applied to lists of points of interest (POIs) in order to extract important information about the POIs and the relations between them. More precisely, we use public lists of POIs to build the ...

With the development of Internet, network has become a important platform for information publishment and communications. However, there are tremendous resources in the network, thus it's very difficult for users to find the wanted resources. Search ...

This paper introduces a Web 2.0 application, Edu-AREA, which offers a dynamic space to support the development of lesson plans and to promote teaching innovation. The development of lesson plans is proposed in a wide way, both in accordance to their ...

Recommendation systems are popular both commercially and in the research community. For example, Online Social Networks (OSNs), like Twitter, are of special attention since a lot of connection are established between users without any previous ...

Web service tags, i.e., terms annotated by users to describe the functionality or other aspects of Web services, are being treated as collective user knowledge for Web service mining. Since user tagging is inherently uncontrolled, ambiguous, and overly ...

The World Wide Web has emerged to become the biggest and most popular way of communication and information dissemination. Every day, the Web is expending and people generally rely on search engine to explore the web. Because of its rapid and chaotic ...

The WEB HITS algorithm was based on data acquisition modules for vast data collection. The algorithm is typical in using the Web link structure excavation to establish data bindings between the page links to improve the linked structure. This paper ...