• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science

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A  micro-blog community discovery algorithm
based on link analysis and user interests

ZHENG Wei-tao1,WU Yong-liang1,GUO Fang-lin1,YAN Guang-hui1,HE Li2   

  1. (1.School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070;
    2.Bank of Lanzhou,Lanzhou 730070,China)
  • Received:2015-08-31 Revised:2015-11-27 Online:2017-04-25 Published:2017-04-25

Abstract:

In micro-blog networks, each node represents a micro-blog user. In addition to the existence of social relations between users, individual users also have their own characteristics. The explicit link relationship between users can provide important clues to community discovery. If two users have common interests we can put them to the same community, even if no explicit connection exists between users. However, most of the traditional community discovery methods only consider one of the abovementioned aspects, so we present a micro-blog community detection method based on links and user interests. Simulation results on real data sets verify that the proposed method is reasonable and effective.

Key words: micro-blog network, community discovery, link analysis, user interests