Rebhi, Wala, Ben Yahia, Nesrine, Bellamine Ben Saoud, Narjès and Hanachi, Chihab (2017) Towards Contextualizing Community Detection in Dynamic Social Networks. In: 10th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT 2017).

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With the growing number of users and the huge amount of information in dynamic social networks, contextualizing community detection has been a challenging task. Thus, modeling these social networks is a key issue for the process of contextualized community detection. In this work, we propose a temporal multiplex information graph-based model to represent dynamic social networks: we consider simultaneously the social network dynamicity, its structure (different social connections) and various members’ profiles so as to calculate similarities between “nodes” in each specific context. Finally a comparative study on a real social network shows the efficiency of our approach and illustrates practical uses.

Item Type: Conference or Workshop Item (Paper)
Language: English
Date: 2017
Uncontrolled Keywords: Temporal multiplex information graph - Dynamic social networks Contextualized community detection - Modularity - Inertia - Similarity
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 20 Mar 2019 11:08
Last Modified: 02 Apr 2021 15:59
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