Evolutionary link community structure discovery in dynamic weighted networks
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- 作者：Qiang Liua ; liuqiang1981@nudt.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Caihong Liub ; c ; Jiajia Wangd ; Xiang Wanga ; Bin Zhoua ; e ; Peng Zoua
- 关键词：Link community structure ; Dynamic networks ; Weighted networks ; Community evolution
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2017
- 出版时间：15 January 2017
- 年：2017
- 卷：466
- 期：Complete
- 页码：370-388
- 全文大小：4103 K
文摘
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We propose a novel evolutionary link community structure discovery algorithm ELCSD.
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The ELCSD is for dynamic weighted networks.
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The ELCSD can find hierarchical and overlapping community structure.
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We design a local link expansion strategy in the ELCSD.
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Experiments illustrate the effectiveness and feasibility of the ELCSD.
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