Some Observations on Community Detection Algorithms in Social Networks
Journal Title: International Journal of Engineering and Science Invention - Year 2017, Vol 6, Issue 12
Abstract
This paper focuses on community detection algorithms in social networks. We have given a brief background about graph, social networks and community detection. The popular algorithms used for community detection are categorized into three broad categories, namely graph partition based, clustering based and overlapping community detection. Some of the most frequently used algorithms are tabulated with their advantages and disadvantages. The primary goal of the paper is to provide a summarize survey of recent updates in community detection research, which will provide base for new researchers to work in this direction.
Authors and Affiliations
Dipika Singh, Rakhi Garg
Keywords
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