A review on community structures detection in time evolving social networks

The usage of social networks has widely increased in recent years. Humans tend to form groups, in these networks, based on their similar interests. Such groups are known as communities or clusters. Detecting such structure gives us an exceptional understanding of the organization and function of soc...

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Main Authors: Norah Alotaibi, Delel Rhouma
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157821002196
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author Norah Alotaibi
Delel Rhouma
author_facet Norah Alotaibi
Delel Rhouma
author_sort Norah Alotaibi
collection DOAJ
description The usage of social networks has widely increased in recent years. Humans tend to form groups, in these networks, based on their similar interests. Such groups are known as communities or clusters. Detecting such structure gives us an exceptional understanding of the organization and function of social networks. This problem is amplified because networks evolve, so their structure changes. This survey highlights the characteristics and challenges of the community detection problem in dynamic social networks, motivated by this evolution. Our paper investigated and compared state-of-the-art methods technically. This survey will help researchers find the best methods and choose the relevant future direction because of the definition of network models and problem formation.
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spelling doaj.art-189221a669904c54bb45973bf803f86b2022-12-22T04:19:03ZengElsevierJournal of King Saud University: Computer and Information Sciences1319-15782022-09-0134856465662A review on community structures detection in time evolving social networksNorah Alotaibi0Delel Rhouma1Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Al-Majmaah 11952, Saudi Arabia; Corresponding author.Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia; MARS Research Laboratory LR17ES05, University of Sousse, TunisiaThe usage of social networks has widely increased in recent years. Humans tend to form groups, in these networks, based on their similar interests. Such groups are known as communities or clusters. Detecting such structure gives us an exceptional understanding of the organization and function of social networks. This problem is amplified because networks evolve, so their structure changes. This survey highlights the characteristics and challenges of the community detection problem in dynamic social networks, motivated by this evolution. Our paper investigated and compared state-of-the-art methods technically. This survey will help researchers find the best methods and choose the relevant future direction because of the definition of network models and problem formation.http://www.sciencedirect.com/science/article/pii/S1319157821002196Community detectionDynamic social networkSocial network analysis
spellingShingle Norah Alotaibi
Delel Rhouma
A review on community structures detection in time evolving social networks
Journal of King Saud University: Computer and Information Sciences
Community detection
Dynamic social network
Social network analysis
title A review on community structures detection in time evolving social networks
title_full A review on community structures detection in time evolving social networks
title_fullStr A review on community structures detection in time evolving social networks
title_full_unstemmed A review on community structures detection in time evolving social networks
title_short A review on community structures detection in time evolving social networks
title_sort review on community structures detection in time evolving social networks
topic Community detection
Dynamic social network
Social network analysis
url http://www.sciencedirect.com/science/article/pii/S1319157821002196
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