专题研究

基于业务流的智慧政务多源信息协同结构分析——以长春市为例#br#

  • 蒲泓宇 ,
  • 马捷 ,
  • 黄山
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  • (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)

网络出版日期: 2020-01-13

基金资助

本文系吉林省教育厅“十三五”社会科学项目“信息生态视角下智慧城市信息协同结构模型构建——以智慧长春为例”(项目编号:JJKH20180294SK)的研究成果。

Analysis of Business Flow-based Smart Government Affairs Multi-source Information Collaborative Structure: Taking Changchun City as an Example#br#

  • Pu Hongyu ,
  • Ma Jie ,
  • Huang Shan
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  • (1School of Management, Jilin University,Changchun,130022; 2Center for Studies of Information Resources, Jilin University,Changchun,130022)

Online published: 2020-01-13

摘要

[目的/意义]借助复杂网络分析方法,我们从业务流程数据入手分析政务服务中的多源信息协同结构,为政务服务智慧化路径的规划提供参考。[方法/过程]以长春市为例,从公开的政务服务流程中提取出信息协同主体、信息流通渠道及方向以构建信息协同网络,依据复杂网络中的度、中心性、聚集系数等相关指标分析网络结构及特征。[结果/结论]分析发现,各信息主体具有一定的中心边陲属性,网络出现比较显著的分层现象,整体协同效率亟待提高,但主体间较高的聚集度将在优化过程中产生杠杆效应,可对政务信息优化产生正向推动作用。

本文引用格式

蒲泓宇 , 马捷 , 黄山 . 基于业务流的智慧政务多源信息协同结构分析——以长春市为例#br#[J]. 情报资料工作, 2020 , 41(1) : 14 -23 . DOI: 10.12154/j.qbzlgz.2020.01.002

Abstract

[Purpose/significance] With the help of complex network analysis method, this paper analyzes the multisource information collaborative structure of government affairs service from the perspective of business process data, and provides a reference for the planning of the intelligent path of government affairs service. [Method/process] Taking Changchun city as an example, information coordination subjects, information circulation channels and directions are extracted from the open government affairs service process to build an information coordination network, and the network structure and characteristics are analyzed according to the degree, centrality, aggregation coefficient and other relevant indicators of the complex network. [Result/conclusion] The analysis shows that each information subject has a certain central edge attribute, the network appears a relatively significant stratification phenomenon, the overall collaborative efficiency needs to be improved, but the high degree of aggregation between the subjects will generate leverage effect in the optimization process, which can positively promote the optimization of government information.
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