首页 | 官方网站   微博 | 高级检索  
     


Detect local communities in networks with an outside rate coefficient
Authors:Yi Shen
Affiliation:College of Information Science and Technology, Nanjing Agricultural University, Nanjing 210095, PR China
Abstract:In this paper, we present a local method for detecting communities in networks. We define an outside rate coefficient ψoutψout in our method. ψoutψout has a very simple form and is easy to calculate. The local community enclosing a starting node can be detected by agglomerating the node with the smallest ψoutψout at each time step. When there are two or more nodes having the same smallest outside rate coefficient ψoutψout, we agglomerate the node with the largest kinkin. This operation is remarkably beneficial to the accuracy of our method, and simulations on benchmark networks and real networks demonstrate that our local method is efficient to detect communities in networks.
Keywords:Networks  Local community detection  Outside rate coefficient
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号