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Methodological Approach to Agent-Based Modeling of Social Networks

EasyChair Preprint no. 6291

6 pagesDate: August 14, 2021


The article considers social networks as an environment with a complex structure, which is dynamically changing and difficult to analyze. Here is presented the basic methodological approaches for application in the theoretical analysis of social networks. Further, it is proposed to apply the method of agent-based modeling, which today, in the authors’ opinion, can be the most adaptive for modeling internal processes of such dynamic social systems as social networks. The most popular software tools for building agent-based models are described and the software AnyLogic developed by XJTeknologies, which has a number of competitive advantages, is highlighted as the most versatile and multifunctional.

Keyphrases: agent-based modeling, information influence, social networks

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Olga Vasylieva and Borys Butvin and Yuriy Shtyfurak},
  title = {Methodological Approach to Agent-Based Modeling of Social Networks},
  howpublished = {EasyChair Preprint no. 6291},

  year = {EasyChair, 2021}}
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