An algorithm for communication community organizational structure analysis

摘要：

The purpose of communication community struc ture detection in a network is to cluster weighted complex network. By learning from traditional clustering algorithm, OPTICS, an algorithm is designed to detect communication community and analyze its structure. This algorithm considers the effect and detects communication community based on its communication intensity. The detection result is organized in multi distinguishing granular to provide hierarchical structural organization in the communication community. Experiments showed that this algorithm is effective in detecting communication community and analyzing organizational structure.

关键词： complex network community detection organizational structure analysis

作者: HOU Ying SHEN Hao-xiang LIU Li-xiong HUANG Hai

作者单位: National Digital Switching System Engineering & Technological Research Center Zhengzhou, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 609-613

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）