Literature Survey on Dynamic Community Detection and Models of Social Networks

被引：0
|
作者：
Tamimi, Imane [1 ]
El Kamili, Mohamed [1 ]
机构：
[1] Sidi Mohammed Ben Abdellah Univ, LIMS, Fes, Morocco
来源：
2015 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND MOBILE COMMUNICATIONS (WINCOM) | 2015年
关键词：
community detection; social network; models of networks; dynamic network; static network; STOCHASTIC BLOCKMODELS;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we realize a literature survey on the issue of community detection over time, first we present some basic concepts about networks modeled as graphs, then we state in an non exhaustive way the research fields arising from social networks. We present some of the existing models and methods to track communities over time. Community detection in networks is a prevailing subject in the area of social network analysis. There exist numerous methods and algorithms in the literature that have been dealing with that issue.
引用
收藏
页码：207 / 211
页数：5
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