Social Network Dynamics: A Statistical Model Based on Continuous-time Markov Chains

摘要：

A statistical model based on continuous-time Markov Chains is built to depict and analyze social network dynamics in this article. This model comprises two functions: one is the rate function, which indicates the rate at which one actor is allowed to change his social relationships in a specific time period. The other is the objective functions, which indicates the target social relationships of one actor when he departures from a specific status. We can use this model to get statistical rules of social network dynamics based on longitudinal social-network data.

关键词： social network markov chain statistical model

作者: GU Huijun

作者单位: Business School, Nanjing University, P.R.China, 21000 The department of management science, Jiangsu Institute of Administration, P.R.China, 453003

会议类型: 国际会议

会议名称: The 3rd International Institute of Statistics & Management Engineering Symposium(2010 国际统计与管理工程研讨会 IISMES)

会议地点: 威海

会议语种:英文

页码: 384-388

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）