Detection of Communities on Social Networks Based on Label Propagation Algorithm and Fuzzy Methods
عنوان مقاله: Detection of Communities on Social Networks Based on Label Propagation Algorithm and Fuzzy Methods
شناسه ملی مقاله: JR_TFSS-2-1_002
منتشر شده در در سال 1402
شناسه ملی مقاله: JR_TFSS-2-1_002
منتشر شده در در سال 1402
مشخصات نویسندگان مقاله:
Mohsen Chekin - Department of Computer Engineering Dezful Branch, Islamic Azad University Dezful, Iran
Amin Mehranzadeh - Department of Computer Engineering Dezful Branch, Islamic Azad University Dezful, Iran
خلاصه مقاله:
Mohsen Chekin - Department of Computer Engineering Dezful Branch, Islamic Azad University Dezful, Iran
Amin Mehranzadeh - Department of Computer Engineering Dezful Branch, Islamic Azad University Dezful, Iran
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.
کلمات کلیدی: Virtual Communities, Social Networks, Label Propagation Algorithm, Fuzzy Delphi Method
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1662385/