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- Title
Detection algorithm research for hot topics in micro-blog based on time characteristics.
- Authors
YAN Guang-hui; ZHAO Hong-yun; REN Ya-jin; CHEN Yong
- Abstract
Combined with the important role of the time factor in the detection of hot topics, this paper studied how to effectively get the latest and the most valuable topic issues in the micro-blog based on the theory of user interest and the behavior between users, and proposed a hot topic detection algorithm (TimePageRank, which modified the PageRank algorithm) with a time argument. First, the algorithm extracted topics which were interesting to users by using the voting mechanism and recorded the generation time of the topic. Then, it calculated the weight of each topic. Finally, this paper used the proposed algorithm to rank these topics to detect hot topics in the micro-blog. The experimental results over real data set illustrate the effectiveness and efficiency provided by the algorithm.
- Subjects
ALGORITHMS; MICROBLOGS; VOTING; DATA analysis; INTERNET users; EXPERIMENTAL design
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2014, Vol 31, Issue 1, p43
- ISSN
1001-3695
- Publication type
Article
- DOI
10.3969/j.issn.1001-3695.2014.01.009