文章基本信息

标题：A New Algorithm to Detect and Evaluate Learning Communities in Social Networks: Facebook Groups
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作者：Meriem Adraoui ; Asmaâ Retbi ; Mohammed Khalidi Idrissi 等
期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2019
卷号：14
期号：23
页码：165-179
DOI：10.3991/ijet.v14i23.10889
出版社：Kassel University Press
摘要：This article aims to present a new method of evaluating learners by communities on Facebook groups which based on their interactions. The objective of our study is to set up a community learning structure according to the learners' levels. In this context, we have proposed a new algorithm to detect and evaluate learning communities. Our algorithm consists of two phases. The first phase aims to evaluate learners by measuring their degrees of ‘Safely’. The second phase is used to detect communities. These two phases will be repeated until the best community structure is found. Finally, we test the performance of our proposed approach on five Facebook groups. Our algorithm gives good results compared to other community detection algorithms..
关键词：Community detection;evaluation;centrality;social network;safely;learning communities.