A Survey On Community Identification in Dynamic Network

Oumaima Izem; Youssef Zaz; Ali Younes; Nassime El Rharbi

doi:10.2991/978-94-6463-360-3_34

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A Survey On Community Identification in Dynamic Network

Authors

Oumaima Izem¹^{, *}, Youssef Zaz¹, Ali Younes¹, Nassime El Rharbi¹

¹CSSE Labs, Faculty of Scineces Tetouan, Tanger-Tetouan-Al Hoceima Morocco, Av. Sebta, Tetouan, 93002, Tetouan, Morocco

^*Corresponding author. Email: oumaima.izem@etu.uae.ac.ma

Corresponding Author

Oumaima Izem

Available Online 5 February 2024.

DOI: 10.2991/978-94-6463-360-3_34 How to use a DOI?
Keywords: Community detection; Dynamic Networks; Community Detection Algorithms
Abstract: Identifying community in dynamic networks is a process of determining the community structure of a continuously changing network, in order to provide significant insight into its characteristics and its functionality, allowing for the exact purpose of understanding deeply the operating and crucial features of current systems and investigating their underlying processes. Static networks have been the main focus of community detection research. However, as time went on, the research drifted to more scalable networks known as dynamic networks, which is the main study in our journal, since this type of network has been in multiple crucial applications such as social media, security, and public health. Accordingly, our research will be based on recent algorithms and community detection techniques, since, as we will it proved rather be a difficult challenge, along with diving into the brains behind each algorithm, comparing the effectiveness of each process there is as of today.
Copyright: © 2023 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
Series: Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date: 5 February 2024
ISBN: 10.2991/978-94-6463-360-3_34
ISSN: 2667-128X
DOI: 10.2991/978-94-6463-360-3_34 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Oumaima Izem
AU  - Youssef Zaz
AU  - Ali Younes
AU  - Nassime El Rharbi
PY  - 2024
DA  - 2024/02/05
TI  - A Survey On Community Identification in Dynamic Network
BT  - Proceedings of the E-Learning and Smart Engineering Systems (ELSES 2023)
PB  - Atlantis Press
SP  - 335
EP  - 351
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-360-3_34
DO  - 10.2991/978-94-6463-360-3_34
ID  - Izem2024
ER  -

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