The Governance of Goal-Directed Networks and Network Tasks: An Empirical Analysis of European Regulatory Networks
研究了影响网络行政组织（NAO）结构复杂性的因素，基于37个欧洲监管网络的数据，发现规则制定任务与更简单的NAO相关，而成员制裁和规则执行任务与更复杂的NAO相关。
In this article, we answer the research question “What factors affect the structural complexity of \nnetwork administrative organizations (NAOs)?” The question warrants further research because \nof the lack of empirical studies on the topic. We design a quantitative study of the structure of all \n37 European regulatory networks. Using Bayesian statistics, we analyze the new data set and test \nhypotheses, derived from the literature, about the factors affecting the structural complexity of \nNAOs. We find that networks with rule-setting tasks are strongly related to less complex NAOs, \nwhereas networks with member-sanctioning and rule-enforcing tasks are strongly related to more \ncomplex NAOs. Theoretically, network-level tasks appear to affect NAO complexity, particularly \ngiven the implied uncertainty of those tasks, as well as the network-level operational requirements \nrelated to them.