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基于社会网络分析法的在线慢病社区多元主体交互行为研究

  • 冯翠翠 ,
  • 易明 ,
  • 金燕 ,
  • 莫富传
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  • 1郑州大学信息管理学院河南450001;2河南省“双一流”建设研究中心郑州450001;3华中师范大学信息管理学院武汉430079)
冯翠翠,女,1994年生,郑州大学信息管理学院讲师。 易明,男,1978年生,华中师范大学信息管理学院教授。 金燕,女,1977年生,郑州大学信息管理学院教授。 莫富传,男,1993年生,郑州大学信息管理学院讲师。

网络出版日期: 2025-05-16

基金资助

本文系国家社会科学基金重点项目“在线健康社区知识共创机理及引导机制研究”(批准号:21ATQ006)的研究成果之一。

Research on the Interaction Behavior of Multi-Subject in Online Chronic Disease Communities Based on Social Network Analysis Method

  • Feng Cuicui ,
  • Yi Ming ,
  • Jin Yan ,
  • Mo Fuchuan
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  • (1School of Information Management, Zhengzhou University, Henan,450001; 2Research Center for“Double World-Class Project”of Henan Province, Zhengzhou,450001; 3School of Information Management, Central China Normal University, Wuhan,430079)

Online published: 2025-05-16

摘要

[目的/意义]多元主体交互已成为在线慢病社区的突出特征和发展模式,探索在线慢病社区多元主体交互的关系网络结构特征和行为模式能为制定促进多元主体交互和在线慢病社区可持续发展的针对性策略提供参考。[方法/过程]在分析在线慢病社区多元主体交互概念特征、交互行为模型和交互关系模型基础上,基于“淋巴瘤之家”的用户交互数据构建在线慢病社区多元主体交互关系网络,继而引入多维网络结构特征指标分析多元主体交互的网络结构韧性、动态演化特征和行为模式。[结果/结论]在线慢病社区多元主体以跨主体交互模式、关键主体引导交互模式、多核心主体交互模式和中介者协调交互模式广泛参与社区交互活动,建立了沟通互动性相对较弱、韧性水平较低、网络结构动态演化的稀疏关系网络。

本文引用格式

冯翠翠 , 易明 , 金燕 , 莫富传 . 基于社会网络分析法的在线慢病社区多元主体交互行为研究[J]. 情报资料工作, 2025 , 46(3) : 73 -83 . DOI: 10.12154/j.qbzlgz.2025.03.008

Abstract

[Purpose/significance] Multi-subject interaction has emerged as a prominent characteristic and develop⁃ment model in online chronic disease communities. Exploring the relational network structure characteristics and be⁃havioral patterns of multi-subject interaction in these communities can provide valuable insights for formulating target⁃ed strategies to promote multi-subject interaction and sustainable development of online chronic disease communities.[Method/process] Based on the analysis of the conceptual characteristics, interaction behavior models and interaction relationship models of multi-subject interaction in online chronic disease communities, a multi-subject interaction re⁃lationship network was constructed using sample data from the“Lymphoma House”. Subsequently, multi-dimensional network structure characteristic indicators were introduced to analyze the resilience, dynamic evolution features, and behavioral patterns of the multi-subject interaction. [Result/conclusion] The multi-subject of online chronic disease community participates in community interaction activities with cross-agent interaction mode, key subject-led interac⁃tion mode, multi-core subject interaction mode and mediator-coordinated interaction mode. Under these interaction models, a sparse relational network with relatively weak communication interactivity, low resilience, and dynamically evolving network structures has been established.
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