The (un)supervised NMF methods for discovering overlapping communities as well as hubs and outliers in networks
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- 作者：Xiao Wanga ; Xiaochun Caoa ; b ; Di Jina ; jindi@tju.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Yixin Caoc ; Dongxiao Hea
- 关键词：Overlapping community ; Hubs ; Outliers ; (Bayesian) NMF
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2016
- 出版时间：15 March 2016
- 年：2016
- 卷：446
- 期：Complete
- 页码：22-34
- 全文大小：1601 K
文摘
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We studied on the detection of overlapping communities, hubs and outliers.
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When the number of communities K is known, we proposed a normalized symmetric NMF.
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But when K is unknown, we proposed the Bayesian symmetric NMF.
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We used the Kullback–Leibler divergence for these algorithms.