A New Algorithm to Detect and Evaluate Learning Communities in Social Networks: Facebook Groups

Authors

  • Meriem Adraoui Mohammed V University of Rabat, Morocco
  • Asmaâ Retbi Mohammed V University of Rabat, Morocco
  • Mohammed Khalidi Idrissi Mohammed V University of Rabat, Morocco
  • Samir Bennani Mohammed V University of Rabat, Morocco

DOI:

https://doi.org/10.3991/ijet.v14i23.10889

Keywords:

Community detection, evaluation, centrality, social network, safely, learning communities.

Abstract


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.

Author Biographies

Meriem Adraoui, Mohammed V University of Rabat, Morocco

Laboratory of Research in Computer Science and Education, Mohammadia School of Engineers,

Asmaâ Retbi, Mohammed V University of Rabat, Morocco

Laboratory of Research in Computer Science and Education, Mohammadia School of Engineers,

Mohammed Khalidi Idrissi, Mohammed V University of Rabat, Morocco

Laboratory of Research in Computer Science and Education, Mohammadia School of Engineers,

Samir Bennani, Mohammed V University of Rabat, Morocco

Laboratory of Research in Computer Science and Education, Mohammadia School of Engineers,

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Published

2019-12-06

How to Cite

Adraoui, M., Retbi, A., Khalidi Idrissi, M., & Bennani, S. (2019). A New Algorithm to Detect and Evaluate Learning Communities in Social Networks: Facebook Groups. International Journal of Emerging Technologies in Learning (iJET), 14(23), pp. 165–179. https://doi.org/10.3991/ijet.v14i23.10889

Issue

Vol. 14 No. 23 (2019)

Section

Papers

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