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Community detection by label propagation with compression of flow

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成果类型:
期刊论文
作者:
Han, Jihui*;Li, Wei;Su, Zhu;Zhao, Longfeng;Deng, Weibing
通讯作者:
Han, Jihui
作者机构:
[Zhao, Longfeng; Deng, Weibing; Li, Wei; Su, Zhu; Han, Jihui] Cent China Normal Univ, Complex Sci Ctr, Inst Particle Phys, Wuhan 430079, Peoples R China.
通讯机构:
[Han, Jihui] C
Cent China Normal Univ, Complex Sci Ctr, Inst Particle Phys, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Statistical and Nonlinear Physics
期刊:
EUROPEAN PHYSICAL JOURNAL B
ISSN:
1434-6028
年:
2016
卷:
89
期:
12
页码:
272-null
基金类别:
Program of Introducing Talents of Discipline to UniversitiesMinistry of Education, China - 111 Project [B08033]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [11505071]
机构署名:
本校为第一且通讯机构
院系归属:
物理科学与技术学院
摘要:
The label propagation algorithm (LPA) has been proved to be a fast and effective methodfor detecting communities in large complex networks. However, its performance is subjectto the non-stable and trivial solutions of the problem. In this paper, we propose amodified label propagation algorithm LPAf to efficiently detect community structures innetworks. Instead of the majority voting rule of the basic LPA, LPAf updates the label ofa node by considering the compression of a description of random walks on a network. Amulti-step greedy agglomerativ...

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