Computer and Modernization ›› 2015, Vol. 0 ›› Issue (4): 20-25,30.

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Hot Topics Detection Method Based on User Relevance

  

  1. College of Computer Science & Technology, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China
  • Received:2014-12-02 Online:2015-04-27 Published:2015-04-29

Abstract:

To improve the accuracy of detecting hot topic from social network text information, a hot topic detection algorithm based on user relevance is raised.
According to user authority to the user orientation, some noise data of parts of users are filtered out. The authority of users is calculated by micro-blog users authority
evaluation model based on PageRank algorithm. The heat evaluation of micro-blog topics is made by combining the number of reposts and comments with user authority data together
, thus the hot topics are found. The result of the experiment shows that the method can effectively identify “zombie” users, and further the average missing rate and false
detection rate respectively decrease by 19.78% and 4.77%, indicate the topic detection accuracy rate is effectively improved.

Key words: PageRank algorithm, micro-blog, user authority, topic detection