SOCIAL NETWORKS: EFFECTIVE METHODS OF DIVIDING INTO TWO AND THREE GROUPS
DOI:
https://doi.org/10.37547/Keywords:
Social networks. Social network analysis. Division into groups. Community detection methods. Algorithms. Polarization of opinions. Interest groups. Computing resources. Structure of social networks. The digital age. Maximum likelihood.Abstract
“Social networks: effective methods for dividing into two and three groups” is an objective look at current methods for analyzing social networks in order to identify subgroups or communities. The article examines in detail the use of various algorithms to determine the most clearly defined communities within social networks. Particular attention is paid to the importance of dividing into two or three groups to identify polarization of opinions or interest groups. The article also discusses the limitations of these methods related to the diversity of social network structures and the need for significant computing resources for large networks. In conclusion, the importance of updating and flexibility of approaches to analyzing social networks, taking into account the dynamic development of this area.
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