图书情报工作 ›› 2018, Vol. 62 ›› Issue (4): 89-96.DOI: 10.13266/j.issn.0252-3116.2018.04.012

• 情报研究 • 上一篇    下一篇

虚拟知识社区的社会网络结构及影响因素——以知乎网为例

刘雨农, 刘敏榕   

  1. 福州大学图书馆 福州 350100
  • 收稿日期:2017-07-17 修回日期:2017-11-08 出版日期:2018-02-20 发布日期:2018-02-20
  • 作者简介:刘雨农(ORCID:0000-0003-0897-5665),硕士研究生,E-mail:liuyn15@outlook.com;刘敏榕(ORCID:0000-0001-8593-0490),馆长,研究馆员,硕士生导师.
  • 基金资助:
    本文系福建省软科学项目"面向众创空间的技术竞争情报服务模式研究"(项目编号:2016R0053)研究成果之一。

The Social Network Structure and Influencing Factors of the Virtual Knowledge Community - Taking Zhihu.com as an Example

Liu Yunong, Liu Minrong   

  1. Library of Fuzhou Universty, Fuzhou 350100
  • Received:2017-07-17 Revised:2017-11-08 Online:2018-02-20 Published:2018-02-20

摘要: [目的/意义]研究虚拟知识社区的社会网络结构特征及影响因素,通过全面描述虚拟知识社区的人际关系网络结构,揭示影响网络形成的社会化过程。[方法/过程]以知乎网"疫苗"话题为样本,基于用户关注关系构建人际关系网络,使用指数随机图模型从纯结构效应和行动者-关系效应两个方面论述社会网络的主要构局和网络形成原因。[结果/结论]发现网络存在自组织,其中聚敛性、扩张性、传递性闭合和一般传递性是正向显著的,而2-路径效应为负显著。用户层面知识贡献程度表现出显著的趋异性,用户声望和知识贡献具有显著的接收者效应。

关键词: 虚拟知识社区, 网络结构, 指数随机图, ERGM

Abstract: [Purpose/significance] This paper discussed the social network structure and influencing factors of the virtual knowledge community. [Method/process] Taking the topic of "vaccine" in Zhihu.com as an example, the author established a network of the interpersonal relationship, and used the exponential random graph model to discuss the main structure and the influencing factors from two aspects: the network self-organization and the actor-relationship effect. [Result/conclusion] It is found that the effects including Alt-in-star, Alt-out-star, AT-T, AT-TDU and 2-path are significant. The divergent effects of users' knowledge contribution is significant, so is the receiver effect of users' reputation and contribution.

Key words: virtual knowledge community, social network structure, exponential random graph model, ERGM

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