标题：Mining and Analysis of User Relationship Based on Microblog Data
作者：Li, Haoyang; Xu, Dongliang; Pan, Jingchang
作者机构：[Li, Haoyang; Xu, Dongliang; Pan, Jingchang] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China.
会议名称：2nd International Conference on Big Data Research (ICBDR)
会议日期：OCT 27-29, 2018
来源：PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON BIG DATA RESEARCH (ICBDR 2018)
关键词：Microblog user relationship; Selenium; Web crawler; Networkx; Knowledge; graph
摘要：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.