Community Verification with Topic Modeling

被引:0
|
作者
Wang, Feng [1 ]
Orton, Ken [1 ]
机构
[1] Arizona State Univ, Sch Math & Nat Sci, Tempe, AZ 85281 USA
来源
WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS, WASA 2017 | 2017年 / 10251卷
基金
美国国家科学基金会;
关键词
Community detection; Topic modeling; LDA; Social media; NETWORKS;
D O I
10.1007/978-3-319-60033-8_25
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Different performance measurement metrics have been proposed to evaluate the performance of community detection algorithms, such as modularity, conductance, etc. However, there is few work which makes sense of a community, that is, explain what does the community do, what is the community's interest. In this paper, we use topic modeling to capture the topics of users in the same community and verify a heuristic community detection algorithm by showing that the users in the communities share strong interests.
引用
收藏
页码:278 / 288
页数:11
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