The homophily principle in social network analysis: A survey

被引:0
|
作者
Kazi Zainab Khanam
Gautam Srivastava
Vijay Mago
机构
[1] Lakehead University,Department of Computer Science
[2] Brandon University,Department of Mathematics and Computer Science
[3] China Medical University,Research Center for Interneural Computing
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关键词
Homophily; Social network analysis; Natural language processing; Machine learning;
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学科分类号
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.
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页码:8811 / 8854
页数:43
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