期刊
MULTIVARIATE BEHAVIORAL RESEARCH
卷 53, 期 1, 页码 57-73出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/00273171.2017.1391682
关键词
Network analysis; cluster analysis; community detection; Cohen's kappa
类别
资金
- National Institute on Alcohol Abuse and Alcoholism [1R21AA02207401]
Cohen's., a similarity measure for categorical data, has since been applied to problems in the data mining field such as cluster analysis and network link prediction. In this paper, a new application is examined: community detection in networks. A new algorithm is proposed that uses Cohen's. as a similarity measure for each pair of nodes; subsequently, the. values are then clustered to detect the communities. This paper defines and tests this method on a variety of simulated and real networks. The results are compared with those from eight other community detection algorithms. Results show this new algorithm is consistently among the top performers in classifying data points both on simulated and real networks. Additionally, this is one of the broadest comparative simulations for comparing community detection algorithms to date.
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