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基于选举标签传播的非重叠社区挖掘算法

连亚飞 黄发良 汪焱 潘传迪

福建师范大学学报(自然科学版)2017,Vol.33Issue(2):10-17,8.
福建师范大学学报(自然科学版)2017,Vol.33Issue(2):10-17,8.DOI:10.12046/j.issn.1000-5277.2017.02.002

基于选举标签传播的非重叠社区挖掘算法

Voting-based Label Propagation Algorithm for Non-overlapping Communities Detection

连亚飞 1黄发良 1汪焱 2潘传迪1

作者信息

  • 1. 福建师范大学软件学院,福建福州350117
  • 2. 温州医科大学附属第一医院浙江省智慧医疗工程技术研究中心,浙江温州325000
  • 折叠

摘要

Abstract

Due to singular solution issue caused by simplicity of neighbor node selection rule,traditional label propagation algorithm can't achieve good effects in community detection of largescale complex network.To address the issue,an algorithm named VLPNO is proposed based on voting mechanism in decision-making.Enlightened by voting mechanism in decision-making,re-defined propagation rules are presented to update labels independently In VLPNO,by which a network is divided into communities composed of leaders and followers.The experimental results show that,compared to LPA,SLPA and BMLPA,the proposed VLPNO can more fast and more effectively discover the intrinsic communities in networks.

关键词

标签传播算法/选举标签/社区挖掘/复杂网络

Key words

Label Propagation Algorithm (LPA)/voting label/community detection/complex network

分类

信息技术与安全科学

引用本文复制引用

连亚飞,黄发良,汪焱,潘传迪..基于选举标签传播的非重叠社区挖掘算法[J].福建师范大学学报(自然科学版),2017,33(2):10-17,8.

基金项目

浙江省智慧医疗工程技术研究中心开放基金(ZH2016004) (ZH2016004)

福建省教育厅资助项目(JA13077) (JA13077)

福建师范大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1000-5277

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