基于贝叶斯网络的互联网协同治理研究  

Research on Internet Collaborative Governance Based on Bayesian Networks

作　　者：许凤[1] 戚湧[1] 

机构地区：[1]南京理工大学经济管理学院

出　　处：《管理学报》2017年第11期1718-1727,共10页Chinese Journal of Management

基　　金：国家自然科学基金资助项目(61272419);江苏省社会科学基金资助项目(14SZB018)

摘　　要：引入互联网治理三方协同及协同度概念,基于复杂系统协同度的序参量评价模型,建立互联网治理系统协同度评价指标体系,发现美国、英国、韩国和中国互联网治理系统协同度差异;基于贝叶斯网络方法,构建互联网治理协同度影响因素网络,分析协同度差异原因及影响因素结构关系。研究发现:虽然我国互联网治理系统协同度较低,但政府和互联网媒体两个子系统协同度具有优势;政府和网民在互联网协同治理中的影响更为突出,提高政府和网民两个治理主体的协同度,可以更好地促进互联网治理系统协同度。Based on evaluation model of order parameter and Internet governance tripartite collaboration,this study establishes the evaluation index system of Internet governance coordination degree,and then measures the coordination degree of Internet governance in the USA,United Kingdom,South Korea and China.Based on the Bayesian network,this study constructs the network of influencing factors of Internet collaborative governance and analyzes the reasons and the structural relationship of influencing factors.The results demonstrate that：although the degree of Internet coordination governance system in China is lower,the coordination degree of the government and the Internet media have advantages;the coordination degrees of the government and Internet users can promote the internet governance better,and improving the coordination of government and Internet users can promote the effectiveness of Internet collaborative governance better.

关 键 词：互联网 治理 协同度 贝叶斯网络 

分 类 号：C93[经济管理—管理学]