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Study of Self-Organization Issues in Virtual Network Communities

In: Computational and Strategic Business Modelling

Author

Listed:
  • Naida O. Omarova

    (Federal State Budgetary Educational Institution of Higher Professional Education Dagestan State University)

Abstract

Modeling the activities of network communities based on the analysis of linguistic, social, and structural components is one of the most effective methods for obtaining information. To study network communities, methods of analysis associated with the use of sociology, statistics, and graph theory are used. The main method on the topic of this study is the structural analysis of the network community using the social graph model and its visualization in the Gephi software package. This chapter analyzes the essence of online communities, their principles, and their goals of creation. The main existing methods for studying network communities are considered. A typology of network communities and their users is presented. This chapter analyzes and builds a network community model using a social graph and subsequent visualization using the Gephi package.

Suggested Citation

  • Naida O. Omarova, 2024. "Study of Self-Organization Issues in Virtual Network Communities," Springer Proceedings in Business and Economics, in: Damianos P. Sakas & Dimitrios K. Nasiopoulos & Yulia Taratuhina (ed.), Computational and Strategic Business Modelling, pages 593-609, Springer.
  • Handle: RePEc:spr:prbchp:978-3-031-41371-1_50
    DOI: 10.1007/978-3-031-41371-1_50
    as

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