Community Discovery Algorithm Based on Coincidence Degree

摘要：

Community structure is a structure characteristics commonly exists in all types of real network. To find out community in the network play an important role in understanding the function and behavior of the network. But the real network is changing all the time, the number of network community is changing with it, this characteristics is considered in the community discovery algorithm based on coincidence degree. The algorithm can accurately identify the network potential community by calculating and comparing the coincidence degree of network nodes and the modularity between communities.

关键词： community discovery coincidence degree modularity

作者: Chen Xugang Yu Hongzhi Xu Tao Chang Furong

作者单位: Key Lab of Chinas National Linguistic Information Technology, Northwest University for Nationalities Lanzhou, China

会议类型: 国际会议

会议名称: 2011 International Conference on Computer Science and Network Technology(2011计算机科学与网络技术国际会议 ICCSNT 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 1437-1439

在线出版日期: 2011-12-24（万方平台首次上网日期，不代表论文的发表时间）