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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Discover Community Leader in Social Network with PageRank
verfasst von : Rui Wang, Weilai Zhang, Han Deng, Nanli Wang, Qing Miao, Xinchao Zhao
Erschienen in: Advances in Swarm Intelligence
Verlag: Springer Berlin Heidelberg
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Community leaders are individuals who have huge influence on social network communities. Discovering community leaders in social networks is of great significance for research on the structures of the social networks and for commercial application. Based on the core idea of the PageRank algorithm, this paper firstly processes data selected from
Sina
microblog, and extracts three key indicators, comprising the number of followers, the number of comments and the number of reposts; then based on their mutual relationship, that is following or followed, it obtains the weight of influence for each individual user; and then after a finite number of iterations, this paper identifies the community leader in
Sina
microblog, by which its comprehensive influence on its community are reflected.