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The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt pp 129–139Cite as

A Multi-Objective Genetic Algorithm for Community Detection in Multidimensional Social Network

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 407))

Abstract

Multidimensionality in social networks is a great issue that came out into view as a result of that most social media sites such as Facebook, Twitter, and YouTube allow people to interact with each other through different social activities. The community detection in such multidimensional social networks has attracted a lot of attention in the recent years. When dealing with these networks the concept of community detection changes to be, the discovery of the shared group structure across all network dimensions such that members in the same group interact with each other more frequently than those outside the group. Most of the studies presented on the topic of community detection assume that there is only one kind of relation in the network. In this paper, we propose a multi-objective approach, named MOGA-MDNet, to discover communities in multidimensional networks, by applying genetic algorithms. The method aims to find community structure that simultaneously maximizes modularity, as an objective function, in all network dimensions. This method does not need any prior knowledge about number of communities. Experiments on synthetic and real life networks show the capability of the proposed algorithm to successfully detect the structure hidden within these networks.

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Author information

Authors and Affiliations

  1. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Mohamed M. Elwakil, Aboul Ella Hassanien & Ehab Hassanien

  2. Faculty of Computers and Information, Minia University, Minya, Egypt

    Moustafa Mahmoud Ahmed & Ahmed Ibrahem Hafez

  3. Scientific Research Group in Egypt (SRGE), Giza, Egypt

    Moustafa Mahmoud Ahmed, Ahmed Ibrahem Hafez & Aboul Ella Hassanien

Authors
  1. Moustafa Mahmoud Ahmed
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  2. Ahmed Ibrahem Hafez
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  3. Mohamed M. Elwakil
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  4. Aboul Ella Hassanien
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  5. Ehab Hassanien
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Corresponding author

Correspondence to Moustafa Mahmoud Ahmed .

Editor information

Editors and Affiliations

  1. Faculty of Computers & Informatics, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  2. Department of Information Technology, Cairo University Faculty of Computers & Information, Giza, Egypt

    Aboul Ella Hassanien

  3. College of Management and Technology, Arab Academy for Science, Technology, and Maritime Transport, Giza, Egypt

    Nashwa El-Bendary

  4. Bengal College of Engineering and Technology, Durgapur, West Bengal, India

    Nilanjan Dey

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© 2016 Springer International Publishing Switzerland

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Ahmed, M.M., Hafez, A.I., Elwakil, M.M., Hassanien, A.E., Hassanien, E. (2016). A Multi-Objective Genetic Algorithm for Community Detection in Multidimensional Social Network. In: Gaber, T., Hassanien, A., El-Bendary, N., Dey, N. (eds) The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28-30, 2015, Beni Suef, Egypt. Advances in Intelligent Systems and Computing, vol 407. Springer, Cham. https://doi.org/10.1007/978-3-319-26690-9_12

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  • DOI: https://doi.org/10.1007/978-3-319-26690-9_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26688-6

  • Online ISBN: 978-3-319-26690-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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