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A novel label propagation algorithm based on core expansion for community detection

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成果类型:
期刊论文
作者:
Min, Lei;Liu, Zhi;Chen, Mao(陈矛);Liu, Sanya
通讯作者:
Chen, M.(eitecpaper@gmail.com)
作者机构:
[Chen, Mao; Liu, Zhi; Liu, Sanya; Min, Lei] National Engineering Research Center for E-Learning, Huazhong Normal University, No. 152, Luoyu Road, Wuhan 430079, China
通讯机构:
[Chen, M.] N
National Engineering Research Center for E-Learning, Huazhong Normal University, No. 152, Luoyu Road, Wuhan 430079, China
语种:
英文
关键词:
Community detection;Core community;Label propagation;Similarity strength
期刊:
ICIC Express Letters
ISSN:
1881-803X
年:
2014
卷:
8
期:
8
页码:
2303-2308
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Label Propagation Algorithm (LPA) is an efficient community detection method. Although it is simple and linear with a low time complexity, it suffers from the weaknesses of inaccuracy and instability. In this paper, we proposed a novel algorithm, namely, Core Expansion based Label Propagation Algorithm (CELPA). Specifically, we first extract several local core communities by computing similarity between nodes, and then expand these core communities to full communities. The proposed algorithm is evaluated on both real and artificial networks. Th...

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