Network Structure Mining and Evolution Analysis-Based on BA Scale-Free Network Model

摘要：

　　The massive adoption of the Internet facilitates growth of online social networks, in which information can be exchanged in a more efficient way.Such as products, user accounts, web pages, there may be a variety of objects suitable to structurize this kind of networks.As a result, this gives the networks complexity and dynamics.The work in this paper is aiming to studying the topological property of online social network structure from the aspect of dynamics, and make clear the evolution processes of the networks.This is done by a Mean-Field analysis of network growth based on BA Scale-Free network model.Data resources come from the Chinese online e-commerce platform you.163.com and graphs are modeled through commentator and mutual comments by calculating degree distribution of the networks.We build a growing random model for forecasting dynamics of degree evolution.Finally, we use data set on Sina Weibo to test the model and the results are satisfying.

关键词： social network degree distribution BA modal

作者: Rui chen Ting He

作者单位: School of Business Administration,Zhongnan University of Economics and Law,430073, Wuhan, China

会议类型: 国际会议

会议名称: The Seventeenth Wuhan International Conference on E-Business(第17届武汉电子商务国际会议)

会议地点: 武汉

会议语种:英文

页码: 335-340

在线出版日期: 2018-05-25（万方平台首次上网日期，不代表论文的发表时间）