图书情报工作 ›› 2019, Vol. 63 ›› Issue (15): 13-22.DOI: 10.13266/j.issn.0252-3116.2019.15.002

• 专题:智慧城市多元主体信息共享与协同 • 上一篇    下一篇

智慧政务局部近邻网络节点脆弱性研究——以深圳市政府在线为例

马捷1,2, 谢雨杉1, 蒲泓宇1, 张云开1   

  1. 1. 吉林大学管理学院 长春 130022;
    2. 吉林大学信息资源研究中心 长春 130022
  • 收稿日期:2019-01-28 修回日期:2019-04-12 出版日期:2019-08-05 发布日期:2019-08-05
  • 作者简介:马捷(ORCID:0000-0002-1471-2143),教授,博士生导师,E-mail:m-1j-1@163.com;谢雨杉(ORCID:0000-0003-3429-2681),硕士研究生;蒲泓宇(ORCID:0000-0002-1444-269X),硕士研究生;张云开(ORCID:0000-0001-7671-2010),博士研究生。
  • 基金资助:
    本文系国家社会科学基金重点项目"信息生态视角下智慧城市信息协同结构与模式研究"(项目编号:17ATQ007)研究成果之一。

The Node Vulnerability of Smart Government Local Nearest Neighbor Network: A Research Based on Shenzhen Government 0nline

Ma Jie1,2, Xie Yushan1, Pu Hongyu1, Zhang Yunkai1   

  1. 1. School of Management, Jilin University, Changchun 130022;
    2. Research Center for Information Resources, Jilin University, Changchun 130022
  • Received:2019-01-28 Revised:2019-04-12 Online:2019-08-05 Published:2019-08-05

摘要: [目的/意义]通过掌握智慧政务网络中部门节点之间的关系,发现重要节点及数据互联规律,有助于解决跨部门信息协同这一智慧政务的核心难点问题。[方法/过程]在面向市民的政务业务流程视角下,政务材料的提供与接纳形成的信息流构成一种特殊的复杂网络——局部近邻网络。以"深圳政府在线"为实例,对深圳市政务局部近邻网络结构进行展开可视化分析,进行同配性计算与部门节点脆弱性度量,建立部门优先级和部门集群。[结果/结论]研究发现,深圳市智慧政务局部近邻网络具有同配性,相较于异配网络更加支持信息的流通,应着力关注节点脆弱性强的部门,优先与关联度高的部门进行数据库建设与共享,进而稳定政务网络,推动智慧政务协调发展。本文研究方法对于分析城市智慧政务网络结构及特征具有良好的适配性。

关键词: 智慧政务, 节点脆弱性, 共现网络, 局部近邻网络, 政务服务

Abstract: [Purpose/significance] By grasping the relationship between department nodes in the smart government network, we can find the important nodes and the law of data interconnection, which is helpful to solve the core difficult problem of cross-department information collaboration in smart government.[Method/process] From the perspective of citizen-oriented government business process, local neighbor network, a special and complex network, was constituted with the information flow formed by the provision and acceptance of government materials. Taking "Shenzhen government online" as an example, this paper visualized the local nearest neighbor network structure of Shenzhen government affairs, calculates the assortativity coefficient, measures the vulnerability of department nodes, and established the department priority and department cluster.[Result/conclusion] The study found that the local nearest neighbor network of smart government in Shenzhen has homogeneity, which provides more support for information flow compared with the heterogeneity network. In the process of constructing and sharing database, the focus should be on the departments with strong node vulnerability, and give priority to the departments with high correlation so as to stabilize the government network and promote the coordinated development of smart government. The research method of this paper is also suitable for analyzing the structure and characteristics of other urban smart government networks.

Key words: smart government, node vulnerability, co-occurrence network, local nearest neighbor network, E-government services

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