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Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network

Author

Listed:
  • Tamil Selvi P.

    (Michael Job College of Arts and Science for Women, India)

  • Kishore Balasubramaniam

    (Dr. Mahalingam College of Engineering and Technology, India)

  • Vidhya S.

    (PKR Arts College for Women, India)

  • Jayapandian N.

    (Christ University, India)

  • Ramya K.

    (PA College of Engineering and Technology, India)

  • Poongodi M.

    (Division of Informational and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar)

  • Mounir Hamdi

    (Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar)

  • Godwin Brown Tunze

    (Mbeya University of Science and Technology, Tanzania)

Abstract

Social and information networks undermine the real relationship between the individuals (ego) and the friends (alters) they are connected with on social media. The structure of individual network is highlighted by the ego network. Egocentric approach is popular due to its focus on individuals, groups, or communities. Size, structure, and composition directly impact the ego networks. Moreover, analysis includes strength of ego – alter ties degree and strength of ties. Degree gives the first overview of network. Social support in the network is explored with the “gap” between the degree and average strength. These outcomes firmly propose that, regardless of whether the approaches to convey and to keep up social connections are evolving because of the dispersion of online social networks, the way individuals sort out their social connections appears to remain unaltered. As online social networks evolve, they help in receiving more diverse information.

Suggested Citation

  • Tamil Selvi P. & Kishore Balasubramaniam & Vidhya S. & Jayapandian N. & Ramya K. & Poongodi M. & Mounir Hamdi & Godwin Brown Tunze, 2022. "Social Network User Profiling With Multilayer Semantic Modeling Using Ego Network," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 17(1), pages 1-14, January.
    • Handle: RePEc:igg:jitwe0:v:17:y:2022:i:1:p:1-14
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    References listed on IDEAS

    as
    1. Ashwin Muniyappan & Balamuralitharan Sundarappan & Poongodi Manoharan & Mounir Hamdi & Kaamran Raahemifar & Sami Bourouis & Vijayakumar Varadarajan, 2022. "Stability and Numerical Solutions of Second Wave Mathematical Modeling on COVID-19 and Omicron Outbreak Strategy of Pandemic: Analytical and Error Analysis of Approximate Series Solutions by Using HPM," Mathematics, MDPI, vol. 10(3), pages 1-27, January.
    2. M Poongodi & Mohit Malviya & Chahat Kumar & Mounir Hamdi & V Vijayakumar & Jamel Nebhen & Hasan Alyamani, 2022. "New York City taxi trip duration prediction using MLP and XGBoost," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 16-27, March.
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    Cited by:

    1. Xuewei Lai & Qingqing Jie, 2023. "Deep Semantic-Level Cross-Domain Recommendation Model Based on DSV-CDRM," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 18(1), pages 1-20, January.

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