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Detecting Community and Topic Co-Evolution in Social Networks
Bi, Juan; University of Electronic Science and Technology - Qin, Zhiguang; University of Electronic Science and Technology - Huang, Jia; China Science Publishing & Media Ltd.
Formato: |
info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion |
Enlaces: |
In this paper we study how to discover the co-evolution of topics and communities over time in dynamic social networks. We present a topic model-based approach that automatically captures the dynamic features of communities and topics evolution. Our model can…
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Fecha: |
2014-05-01 |
Recurso: |
TELKOMNIKA: Indonesian journal of electrical engineering |
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