操作化
社交网络(社会语言学)
组织网络分析
机制(生物学)
网络理论
网络分析
网络动力学
网络科学
社会网络分析
系统回顾
网络结构
数据科学
管理科学
计算机科学
实证经济学
社会学
复杂网络
知识管理
经济
社会科学
认识论
政治学
机器学习
社会资本
万维网
物理
哲学
离散数学
组织学习
数学
法学
社会化媒体
统计
梅德林
量子力学
作者
Alejandra Medina,Michael D. Siciliano,Weijie Wang,Qian Hu
标识
DOI:10.1177/02750740221118825
摘要
This article contributes to the network effectiveness literature by identifying the theoretical mechanisms and network measures scholars in public administration and policy use to draw inferences between network structures and network effects. We conducted a systematic review of empirical network effects research in 40 public administration and policy journals from 1998 to 2019. We reviewed and coded 89 articles and described the main social theories used in the network effectiveness literature and the associated mechanisms that translate network structures to network effects. We also explain how scholars operationalize those theoretical mechanisms through network measures. Overall, our findings reflect that there is limited use of social theories for the explanation of network effects and in some cases, inconsistent use of network measures associated with theories. Moreover, we identify several challenges confronting network effects research. These challenges include the difficulty of isolating specific mechanisms related to a particular social theory, the use of network structures both as a mechanism and as a measure, and the lack of data to examine network dynamics and coevolution.
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