ORIGINAL RESEARCH article

Front. Public Health

Sec. Digital Public Health

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1566746

This article is part of the Research TopicInclusive Health Communication: Strategies for Equitable Information DisseminationView all 5 articles

Dissemination Characteristics and Influencing Factors of Topic Circles in Multi-layer Public Opinion Dissemination

Provisionally accepted
Xiaoqian  ZhuXiaoqian ZhuGuang  YuGuang Yu*Yinglong  ZhangYinglong ZhangNing  MaNing Ma
  • Harbin Institute of Technology, Harbin, China

The final, formatted version of the article will be published soon.

In recent years, social media has become a pivotal channel for public opinion dissemination, characterised by its multi-topic nature and dynamic complexity. This study utilises data on public health incident dissemination from the Weibo platform as its research sample and, based on a multilayered network model, proposes a framework for topic circle identification and dynamic network analysis in public opinion dissemination. The study explores the classification of user roles within topic circles, constructs a dynamic role transition matrix, and quantitatively analyses the impact of topic circle characteristics on dissemination volume. The results indicate that core users exhibit significant stability and a dominant role within dissemination networks, while intermediate users display pronounced role mobility, and peripheral users are most sensitive to topic relevance. Furthermore, sentiment, forwarding enthusiasm, and forwarding depth exhibit significant differences in their effects on dissemination volume across different user roles. This study enriches public opinion dissemination theory by examining the dynamic evolution of topics and user role transitions, providing practical guidance for managing and controlling public opinion dissemination on social media.

Keywords: topic circles, dynamic network analysis, user role classification, multi-layer dissemination model, Core users

Received: 25 Jan 2025; Accepted: 17 Apr 2025.

Copyright: © 2025 Zhu, Yu, Zhang and Ma. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Guang Yu, Harbin Institute of Technology, Harbin, China

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