Social Media Communities as an Example of a New Type of Communication Ecosystem and Society Clustering

The global proliferation of social networks exerts a significant influence on societal development in many countries worldwide. This study aims to conduct a comparative analysis of the key differences in social networks using China as a case study and to explore the global trends in the development of similar networks in other countries around the world. The methodology is based on Spanish sociologist Manuel Castells’s theory of network society. Using content analysis of the Sina Weibo social network, data on the hierarchical Dirichlet process were obtained, enabling the assessment of the thematic structure of user information, clustering, and segmentation of popular blogs. © 2025 Elsevier B.V., All rights reserved.

Авторы
Liu Zhijiang 1 , Abdullah Nor’Ain 2 , Sokolovskiy Konstantin G. 3 , Karabulatova Irina Sovetovna 4, 5, 6
Издательство
University of Texas Press
Номер выпуска
1
Язык
Английский
Страницы
58-78
Статус
Опубликовано
Том
60
Год
2025
Организации
  • 1 Guangxi Normal University, Guilin, China
  • 2 Management & Science University, Malaysia, Shah Alam, Malaysia
  • 3 Department of General Subjects, Humanitarian and Technical Academy, Kokshetau, Kazakhstan
  • 4 Laboratory of Machine Learning and Semantic Analysis, Lomonosov Moscow State University, Moscow, Russian Federation
  • 5 Heilongjiang University, Harbin, China
  • 6 Department of Foreign Languages, RUDN University, Moscow, Russian Federation
Ключевые слова
hierarchy; machine learning; text mining; WeChat; Weibo
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