版权说明 操作指南
首页 > 成果 > 详情

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

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
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:
Community detection;Complex network;Interference node;Local community
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...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com