Stochastic graph as a model for social networks

作者：

Highlights：

• Stochastic graphs as a model for social network analysis.

• Review studies for user activities and user behavior in online social networks.

• Network measures for stochastic graphs in which edge weights are random variables.

• Six learning automata based algorithms for calculating network measures.

• Evaluating the proposed algorithms and measures on synthetic stochastic graphs.

摘要

•Stochastic graphs as a model for social network analysis.•Review studies for user activities and user behavior in online social networks.•Network measures for stochastic graphs in which edge weights are random variables.•Six learning automata based algorithms for calculating network measures.•Evaluating the proposed algorithms and measures on synthetic stochastic graphs.

论文关键词：Complex social networks,Social network analysis,User behavior,Stochastic graphs,Network measures

论文评审过程：Received 5 April 2016, Revised 11 July 2016, Accepted 22 July 2016, Available online 1 August 2016, Version of Record 1 August 2016.

论文官网地址：https://doi.org/10.1016/j.chb.2016.07.032