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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Abstract
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) |
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Language: | English |
Date: | 2017 |
Uncontrolled Keywords: | Temporal multiplex information graph - Dynamic social networks Contextualized community detection - Modularity - Inertia - Similarity |
Subjects: | H- INFORMATIQUE |
Divisions: | Institut de Recherche en Informatique de Toulouse |
Site: | UT1 |
Date Deposited: | 20 Mar 2019 11:08 |
Last Modified: | 02 Apr 2021 15:59 |
URI: | https://publications.ut-capitole.fr/id/eprint/28725 |