This research aims to identify the cohesion parameter (shared subscription groups) with social factors in the context of virtual youth communities by AI tools (authors’ social network parsing and socialization analytics software). Turning to an agent-based model of social segregation and integration, the authors explore the relationship between individual user preferences for subscription groups and group dynamics factors. To identify the regularities of the cohesion level in youth virtual communities, the method of social network analysis with the construction of graphs of network connections between the participants of virtual youth communities of the Republic of Tatarstan (n = 48 communities, 4800 participants) is applied. The authors assessed network density, defined by the strength of ties between nodes, and examined how it correlates with four factors of inclusion and user activity (F1–F4) in youth virtual communities. The theoretical significance of this research lies in the confirmation of the notion of the relationship between cohesion parameters and some social factors such as leadership, informality of community organization, etc. The practical significance is expressed in identifying the mechanisms underlying cohesion or disunity in the context of individual virtual communities.

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Social Interaction in Youth Virtual Communities: Identification of Social Cohesion Factors by AI Algorithms

  • Maria Yu. Eflova,
  • Anna V. Lipatova

摘要

This research aims to identify the cohesion parameter (shared subscription groups) with social factors in the context of virtual youth communities by AI tools (authors’ social network parsing and socialization analytics software). Turning to an agent-based model of social segregation and integration, the authors explore the relationship between individual user preferences for subscription groups and group dynamics factors. To identify the regularities of the cohesion level in youth virtual communities, the method of social network analysis with the construction of graphs of network connections between the participants of virtual youth communities of the Republic of Tatarstan (n = 48 communities, 4800 participants) is applied. The authors assessed network density, defined by the strength of ties between nodes, and examined how it correlates with four factors of inclusion and user activity (F1–F4) in youth virtual communities. The theoretical significance of this research lies in the confirmation of the notion of the relationship between cohesion parameters and some social factors such as leadership, informality of community organization, etc. The practical significance is expressed in identifying the mechanisms underlying cohesion or disunity in the context of individual virtual communities.