图书情报知识 ›› 2024, Vol. 41 ›› Issue (5): 138-149.doi: 10.13366/j.dik.2024.05.138

• 知识、学习与管理 • 上一篇    下一篇

力学视角下在线健康社区知识共创群体动力分析

易明 周阳 张庭玮   

  1. 华中师范大学信息管理学院,武汉,430079
  • 出版日期:2024-09-10 发布日期:2024-11-03
  • 通讯作者: 周阳(ORCID:0000-0001-7221-5535),博士研究生,研究方向:用户信息行为, Email:1850977851@qq.com。
  • 作者简介:易明(ORCID:0000-0002-4864-6025),博士,教授,研究方向:信息行为与个性化服务, Email:yiming0415@ccnu.edu.cn;张庭玮(ORCID:0000-0003-3644-2065),硕士研究生,研究方向:用户信息行为,Email:1617591248@qq.com。
  • 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”(21ATQ006)和华中师范大学中央高校基本科研业务费优秀青年团队项目“信息交互行为与隐私保护研究”(CCNU22QN017)的研究成果之一。

Group Dynamics of Knowledge Co-creation in Online Health Communities from the Perspective of Mechanics

YI Ming ZHOU Yang ZHANG Tingwei   

  1. School of Information Management, Central China Normal University, Wuhan, 430079
  • Online:2024-09-10 Published:2024-11-03
  • Contact: Correspondence should be addressed to ZHOU Yang, Email: 1850977851@qq.com, ORCID:0000-0001-7221-5535
  • Supported by:
    This is an outcome of the Key Project "Research on the Mechanism of Knowledge Co-creation and Guidance Mechanism of Online Health Community"(21ATQ006)supported by National Social Science Foundation of China and the Outstanding Youth Team Project "Research on Information Interaction Behavior and Privacy Protection"(CCNU22QN017)supported by Fundamental Scientific Research Expenses Foundation for the Central Universities of Central China Normal University.

摘要: [目的/意义]从力学视角构建三层次分析框架,解析单个动力的基本要素,揭示动力之间的多元关系,从而系统呈现在线健康社区知识共创群体动力的复杂特征。[研究设计/方法] 以“与癌共舞”平台中414条研讨帖的17,168条有效评论作为数据来源,首先微观层面通过三级编码,明确群体动力的具体类型及其基本要素(大小、方向、作用点);然后中观层面对评论文本进行标准化处理后,通过计算耦合协调度来揭示两两动力间的耦合关系;最后在宏观层面上进行系统动力学建模,基于情景仿真分析来探寻三维群体动力系统内的混沌关系。[结论/发现]在线健康社区知识共创的群体动力包括信息支持、情感支持和患者依从,信息支持通过群体共识和群体认知两个作用点发挥基本推动力,情感支持通过关系感知和情绪感知两个作用点发挥向心派生力,患者依从通过健康信念这一作用点发挥正向约束力。两两动力间的关系呈现出不同的耦合阶段和协调特征;三维动力同时增长10%时对知识共创的影响作用超过单一动力分别增长30%的效果,意味着群体动力间的混沌关系体现为明显的协同效应。[创新/价值]引入力学视角对知识共创群体动力进行分析,揭示群体动力的个体性、关联性和整体性,为在线社区场景下群体动力研究提供新的思路和参考。

关键词: 在线健康社区, 知识共创, 群体动力, 耦合分析, 系统动力学

Abstract: [Purpose/Significance] This paper aims to construct a three-level analytical framework from the perspective of mechanics, to not only parse the basic elements of individual dynamics but also reveal the multiple relationships between dynamics, thereby systematically present the complex characteristics of the knowledge co-creation group dynamics in online health communities. [Design/Methodology] In this paper, 17,168 valid comments from 414 discussion posts obtained from a platform of "Dances with Cancer" were used as the data source. Firstly, at the micro-level, we clarified the specific types of group dynamics and their basic elements(size, direction and point of action)through three levels encoding. Then, at the meso-level, after standardizing the comment texts, the coupling coordination degree was calculated to reveal the coupling relationships between pairwise dynamics. Finally, at the macro-level, a system dynamics model with the three-dimensional dynamic was built from the macroscopic perspective, and the chaotic relationship between the three-dimensional dynamic was examined through the scenario simulation analysis. [Findings/Conclusion] The group dynamics of knowledge co-creation in online health communities encompass information support, emotional support, and patient compliance. Information support exerts its basic driving force through the two action points of group consistency and group cognition level; emotional support exerts its centripetal derived force through the two action points of relational perception and emotional perception; while patient compliance exerts positive binding force through the action point of health belief. The relationship between the two dynamics presents different coupling stages and coordinate features. The effect of 10% increase in three-dimensional dynamics on knowledge co-creation is greater than that of 30% increase in single dynamics, indicating a clear synergistic effect resulting from the chaotic relationship between group dynamics.[Originality/Value] This paper analyzes the group dynamics of knowledge co-creation from the perspective of mechanics, and reveals the individuality ,relevance and wholeness of group dynamics, as well as provides new ideas and references for the study of group dynamics in online communities.

Key words: Online health communities, Knowledge co-creation, Group dynamics, Coupling analysis, System dynamics