A comparative study of some algorithms for detecting communities in social networks. - Akachar Elyazid; Brahim Ouhbi; Bouchra Frikh (CIST, 2016)

Community detection in social networks using structural and content information. - Elyazid Akachar; Brahim Ouhbi; Bouchra Frikh (iiWAS, 2018)

A new algorithm for detecting communities in social networks based on content and structure information. - Elyazid Akachar; Brahim Ouhbi; Bouchra Frikh (Int. J. Web Inf. Syst., 2020)

ACSIMCD: A 2-phase framework for detecting meaningful communities in dynamic social networks. - Elyazid Akachar; Brahim Ouhbi; Bouchra Frikh (Future Gener. Comput. Syst., 2021)

NI-MLA: Node Importance based Multi-level Label Assignment strategy for community detection in sparse social graphs. - Elyazid Akachar; Yahya Bougteb; Meriem Adraoui; Brahim Ouhbi; Bouchra Frikh (ASONAM, 2023)

Tag2Seq: Enhancing Session-Based Recommender Systems with Tag-Based LSTM. - Yahya Bougteb; Elyazid Akachar; Brahim Ouhbi; Bouchra Frikh (iiWAS, 2023)

Prediction of Student Performance Using Random Forest Combined With Naïve Bayes. - Youness Manzali; Yassine Akhiat; Khalidou Abdoulaye Barry; Elyazid Akachar; Mohamed El Far (Comput. J., 2024)

LeaDCD: Leadership concept-based method for community detection in social networks. - Elyazid Akachar; Yahya Bougteb; Brahim Ouhbi; Bouchra Frikh (Inf. Sci., 2025)