图书情报知识 ›› 2024, Vol. 41 ›› Issue (3): 130-143.doi: 10.13366/j.dik.2024.03.130

• 知识、学习与管理 • 上一篇    下一篇

基于指数随机图模型的政府开放数据协同关系网络形成机制

莫富传1, 张晓娟1,2,3 ,冯翠翠4   

  1. 1.武汉大学信息管理学院,武汉,430072;
    2.档案智能开发与服务国家档案局重点实验室,武汉,430072;
    3.武汉大学信息资源研究中心,武汉,430072;
    4.华中师范大学信息管理学院,武汉,430079
  • 出版日期:2024-05-10 发布日期:2024-07-04
  • 通讯作者: 莫富传(ORCID:0000-0002-9376-2164),博士研究生,研究方向:政府数据开放与治理,电子政务,Email:fcmo@whu.edu.cn。
  • 作者简介:张晓娟(ORCID:0000-0002-5631-0951),博士,教授,研究方向:数字信息资源管理、开放数据与政务信息、知识管理等,Email:xjz@whu.edu.cn;冯翠翠(ORCID:0000-0002-9753-0328),博士研究生,研究方向:信息行为与个性化服务、数字信息资源管理,Emails:fcc@mails.ccnu.edu.cn。

The Formation Mechanism of Government Open Data Collaborative Relationship Networks Based on Exponential Random Graph Model

MO Fuchuan1, ZHANG Xiaojuan1,2,3, FENG Cuicui4   

  1. 1. School of Information Management, Wuhan University, Wuhan, 430072;
    2. Key Laboratory of Archival Intelligent Development and Service, NAAC, Wuhan, 430072;
    3. Center for Studies of Information Resources, Wuhan University, Wuhan, 430072;
    4. School of Information Management, Central China Normal University, Wuhan, 430079
  • Online:2024-05-10 Published:2024-07-04
  • Contact: Correspondence should be addressed to MO Fuchuan, Email: fcmo@whu.edu.cn

摘要: [目的/意义]在促进政府开放数据融合性增值利用的政策背景下,明晰多源异构政府开放数据建立协同关系的驱动因素和机制至关重要,有助于为推动政府开放数据资源跨地区、跨层级和跨部门的共享利用提供参考。[研究设计/方法]建立解释框架和指数随机图模型分析政府开放数据协同关系网络的形成,并基于山东省政府开放数据创新应用成果的数据来源信息进行实证研究。[结论/发现]政府开放数据协同关系网络呈现显著的集聚性、传递性结构特征,具有高数据量、更新频率、下载量、浏览量和相同领域、行政区域、更新频率与开放等级的政府开放数据更有可能建立协同关系,数据项关系网络和提供者关系网络则在政府开放数据协同关系形成过程中发挥跨网络效应。[创新/价值]应用社会网络定量方法对政府开放数据协同关系进行建模分析,研究结论有助于把握多源异构的政府开放数据协同供给和融合性增值利用的潜在机制,并为未来研究和实践提供参考。

关键词: 政府开放数据, 数据创新利用, 协同关系网络, 指数随机图模型

Abstract: [Purpose/Significance] Under the policy background of promoting the converged value-added utilization of government open data, it is crucial to elucidate the driving factors and mechanisms for establishing collaborative relationships among multi-source heterogeneous government open data. This clarification helps provide references for promoting the convergence and utilization of government open data resources across departments, levels, and regions. [Design/Methodology] The formation of the collaborative relationship network of government open data was analyzed using an explanatory framework and an Exponential Random Graph Model (ERGM). An empirical study was then conducted based on the data source information of the innovative applications of government open data in Shandong Province. [Findings/Conclusion] The government open data collaborative relationship network presents significant clustering and transitivity structural characteristics. Government open data with high data volume, high update frequency, high download counts, high browse counts, and the same domain, administrative region, update frequency and openness level being more likely to establish collaborative relationships. Data item relationship network and provider relationship network play a cross-network effect on the formation of government open data collaborative relationship. [Originality/Value] This paper employs social network quantitative method to model and analyze the collaborative relationships of government open data. The research findings are valuable for understanding the potential mechanisms of the collaborative supply, integration, and value-added utilization of multi-source and heterogeneous government open data , as well as providing valuable insights for future research and practice.

Keywords: Government open data, Innovative use of data, Collaborative relationship network, Exponential Random Graph Model