Detection of Communities on Social Networks Based on Label Propagation Algorithm and Fuzzy Methods

Transactions on Fuzzy Sets and Systems

مقاله 3، دوره 2، شماره 1، مرداد 2023، صفحه 22-43   

نوع مقاله: Original Article

شناسه دیجیتال (DOI): 10.30495/tfss.2022.1954699.1019

نویسندگان

Mohsen Chekin^* ؛ Amin Mehranzadeh

Department of Computer Engineering Dezful Branch, Islamic Azad University Dezful, Iran

چکیده

The proliferation of the web and social networks has made people more connected to their friends and neighbors than ever before‎. ‎The desire of individuals to relate to similar tastes and choices in a social network leads to the formation of clusters or virtual communities‎. ‎Such information can be useful for commercial‎, ‎educational or developmental purposes and therefore a large number of algorithms for detecting communities have been presented‎. ‎There are many algorithms for detecting communities on social networks‎. ‎In this paper‎, ‎using the label propagation algorithm and fuzzy Delphi method‎, ‎an improved method is presented that can identify communities more accurately and quickly than other similar methods‎. ‎Accordingly‎, ‎in the proposed algorithm‎, ‎instead of randomly selecting from the maximum labels of the neighboring nodes‎, ‎the label with the highest weight is chosen‎. ‎By doing this‎, ‎random selection is eliminated‎, ‎and stability and certainty in the outcomes of the algorithm are achieved‎.

کلیدواژه‌ها

Virtual Communities‎؛ ‎Social Networks‎؛ ‎Label Propagation Algorithm‎؛ ‎Fuzzy Delphi Method‎

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