社会网络分析
范围(计算机科学)
政策分析
公共政策
网络分析
政策研究
排名(信息检索)
数据科学
领域(数学)
社交网络(社会语言学)
公共关系
知识管理
社会学
计算机科学
政治学
公共行政
社会化媒体
社会科学
万维网
社会资本
人工智能
工程类
程序设计语言
法学
纯数学
数学
电气工程
作者
Wei Zhang,Mingyang Zhang,Ling Yuan,Fengchun Fan
标识
DOI:10.1080/17516234.2021.1996869
摘要
As a mature paradigm of network analysis, social network analysis (SNA) is suitable for exploring complicated and interactive relationships in policy research and is of great significance to the innovation and development of public policy research. In this paper, 45 typical articles published in high-ranking journals in the field of public administration were analysed using co-word analysis and qualitative analysis. The application of SNA in public policy studies, including research methods, analytic tools, and basic concepts of network analysis, were systematically reviewed. UCINET software was used to visualize the knowledge network of research topics. The main research topics were classified into five categories: agenda setting, policy network, advocacy coalition, policy learning and diffusion, policy implementation. Finally, this article suggests that network analysis in public administration should be thoroughly re-examined; in particular, scholars should consider the benefits of SNA for public policy research. In the application of SNA to public policy research, it is necessary to broaden the study perspective and scope, further strengthen interdisciplinary theoretical interaction and theoretical innovation, and take advantage of big data and other new technological tools that can develop giant network analysis for public policy.
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