Introduction
Bimonthly, started in 1957
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N
location: home > paper >
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Research on Community Discovery Method of Content Similarity of Micro-blog
DOI:
10.16355/j.cnki.issn1007-9432tyut.2019.03.018
Received:
Accepted:
| Corresponding author | Institute | |
| ZHANG Yueqin | College of lnformation and Computer Science, Taiyuan University of Technology |
abstract:
The community found in micro-blog has important research significance in personalized recommendation, micro-blog marketing, public opinion monitoring and so on. In view of the accuracy and utility of the existing micro-blog community, an efficient micro-blog community discovery algorithm based on user content similarity was proposed. This paper first analyzed the user interest model of micro-blog, and then excavated micro-blog opinion leaders, and finally clustered the interest groups of opinion leaders by AP algorithm. The results were taken as community center to combine with modularity optimization algorithm to complete micro-blog community discovery. This method can better find the structure of the micro-blog community.
Keywords:
microblog;community discovery;opinion leader;AP algorithm;Modular degree optimization algorithm