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A local community detection algorithm based on the weakening of interference nodes

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成果类型:
期刊论文
作者:
Min, Lei;Liu, Zhi;Tang, Xiangyang;Chen, Mao*陈矛);Liu, Sanya
通讯作者:
Chen, Mao(陈矛
作者机构:
[Chen, Mao; Liu, Zhi; Liu, Sanya; Tang, Xiangyang; Min, Lei] National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China
[Tang, Xiangyang] School of Mathematics and Statistics, Central China Normal University, Wuhan, China
通讯机构:
National Engineering Research Center for E-Learning, Central China Normal University, Wuhan, China
语种:
英文
关键词:
Complex networks;Signal detection;Community detection;Local community;Local topology;Novel algorithm;Source nodes;Population dynamics
期刊:
Journal of Computational Information Systems
ISSN:
1553-9105
年:
2014
卷:
10
期:
19
页码:
8295-8302
机构署名:
本校为第一且通讯机构
院系归属:
数学与统计学学院
国家数字化学习工程技术研究中心
摘要:
Local community detection algorithm is capable of finding the community of the source node with only local topology information, that is significant for today' expanding networks such as social network and WWW. However, when the source node is located in the bridge of communities, the accuracy of many existing algorithms is often unsatisfactory. In this paper, we proposed a novel algorithm (WILCD) for local community detection, which is based on the weakening of interference nodes. In WILCD, the invalid community (source node is not included) i...

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