Mining and Analysis of User Relationship Based on Microblog Data
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Abstract
With the rapid development of the Internet, people often communicate with others through social networking platforms, where a large number of user relationships are formed. Microblog is one of the most popular social networking platforms. Therefore, this paper attempts to mine user information in Microblog and analyze the relationship between users. This paper mainly uses Python and Selenium to launch the browser and simulate the operation of the mouse, such as login and browse. Then, the names and links of the Microblog user's followers are crawled. After crawling enough user information, a knowledge graph showing the user relationship is drawn by Python Networkx library. The experimental result shows that the knowledge graph can display the Microblog user relationship well through a directed graph. Readers can intuitively obtain the information of a certain Microblog user's followers from the graph.
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- Mining and Analysis of User Relationship Based on Microblog Data
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Published In
October 2018
221 pages
ISBN:9781450364768
DOI:10.1145/3291801
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In-Cooperation
- Shandong Univ.: Shandong University
- University of Queensland: University of Queensland
- Dalian Maritime University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 27 October 2018
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- Refereed limited
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ICBDR 2018
ICBDR 2018: 2018 The 2nd International Conference on Big Data Research
October 27 - 29, 2018
Weihai, China
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