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Author: Narimene Dakiche

Affiliation: Laboratoire des Methodes de Conception de Systèmes (LMCS), Ecole Nationale Supérieure d’Informatique (ESI), BP 68M - 16270 Oued Smar, Alger, Algeria

Keyword(s): Social Networks, Community Detection, Bee Swam Optimization, Modularity.

Abstract: This paper presents, BSODCS, a Bee Swarm Optimization for detecting community structure within networks. It employs artificial bees to explore a search space and construct solutions for community detection. To accommodate the specific features of networks, we adopt a locus-based adjacency encoding scheme. Each bee makes decisions regarding its neighboring solutions and shares information through a dance. To explore the neighborhood of each bee, we use Pearson’s correlation as the heuristic information. The modularity of the bees’ solutions serves as a metric for evaluating their quality. The algorithm is tested on well-known real-world networks, and the experimental findings demonstrate that BSODCS outperforms other existing swarm-based methods, delivering higher-quality results.

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Paper citation in several formats:
Dakiche, N. (2023). BSODCS: Bee Swarm Optimization for Detecting Community Structure. In Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-672-9; ISSN 2184-3252, SciTePress, pages 422-428. DOI: 10.5220/0012209300003584

@conference{webist23,
author={Narimene Dakiche},
title={BSODCS: Bee Swarm Optimization for Detecting Community Structure},
booktitle={Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST},
year={2023},
pages={422-428},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012209300003584},
isbn={978-989-758-672-9},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Web Information Systems and Technologies - WEBIST
TI - BSODCS: Bee Swarm Optimization for Detecting Community Structure
SN - 978-989-758-672-9
IS - 2184-3252
AU - Dakiche, N.
PY - 2023
SP - 422
EP - 428
DO - 10.5220/0012209300003584
PB - SciTePress

- Science and Technology Publications, Lda.
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