Research on Social Communication Network Evolution Based on Topology Potential Distribution

摘要：

Aiming at the problem of social communication network evolution, first, topology potential is introduced to measure the local influence among nodes in networks. Second, from the perspective of topology potential distribution the method of network evolution description based on topology potential distribution is presented, which takes the artificial intelligence with uncertainty as basic theory and local influence among nodes as essentiality. Then, a social communication network is constructed by enron email dataset, the method presented is used to analyze the characteristic of the social communication network evolution and some useful conclusions are got, implying that the method is effective, which shows that topology potential distribution can effectively describe the characteristic of sociology and detect the local changes in social communication network.

关键词： social communication network network evolution local influence topology potential distribution

作者: Zhao Dongjie Jiang Jian Zhang Haisu Li Deyi Chen Guisheng

作者单位: Institute of Equipment Command and Technology, Beijing China 63628 troops. Beijing China Institute of Equipment Command and Technology, Beijing China PLA University of Science and Technology, Nanjing China Institute of Electronic System Engineering, Beijing China

会议类型: 国际会议

会议名称: 2010 International Conference on Software and Computing Technology(2010年软件与计算机技术国际会议 ICSCT 2010)

会议地点: 昆明

会议语种:英文

页码: 635-638

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）