The homophily principle in social network analysis: A survey

被引:48
作者
Khanam, Kazi Zainab [1 ]
Srivastava, Gautam [1 ,2 ,3 ]
Mago, Vijay [1 ]
机构
[1] Lakehead Univ, Dept Comp Sci, Thunder Bay, ON, Canada
[2] Brandon Univ, Dept Math & Comp Sci, Brandon, MB R7A 6A9, Canada
[3] China Med Univ, Res Ctr Interneural Comp, Taichung 40402, Taiwan
基金
加拿大自然科学与工程研究理事会;
关键词
Homophily; Social network analysis; Natural language processing; Machine learning; LATENT DIRICHLET ALLOCATION; TWITTER; MEDIA; ONLINE; MODEL; US; IDENTIFICATION; CONSUMPTION; ENGAGEMENT; DISCOURSE;
D O I
10.1007/s11042-021-11857-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, social media has become a ubiquitous and integral part of social discourse. Homophily is a fundamental topic in network science and can provide insights into the flow of information and behaviours within society. Homophily mainly refers to the tendency of similar-minded people to interact with one another in social groups than with dissimilar-minded people. The study of homophily has been very useful in analyzing the formations of online communities. In this paper, we review and survey the effects of homophily in social networks and summarize the state-of-art methods that have been proposed in the past recent years to identify and measure those effects in multiple types of social networks. We conclude with a critical discussion of open challenges and directions for future research.
引用
收藏
页码:8811 / 8854
页数:44
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