行为者在政策网络中扮演的角色:在高度制度化领域中的中心位置

IF 1.4 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Network Science Pub Date : 2021-03-10 DOI:10.1017/nws.2021.1
K. Ingold, M. Fischer, D. Christopoulos
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引用次数: 7

摘要

摘要中心性是网络科学中一个被广泛研究的现象。在政策网络中,中央行为者之所以感兴趣,是因为他们被认为控制信息流,将对立联盟联系起来,并直接影响决策。首先,我们研究了什么类型的行动者(例如,国家当局或利益集团)能够在高度制度化的政策网络背景下占据核心地位。其次,我们会问,随着时间的推移,键合或桥接中心是否会更加稳定。第三,我们研究了这些类型的中心性如何随着时间的推移影响参与者在网络中的地位。因此,我们采用纵向视角,运行指数随机图模型,包括t1时的滞后中心网络位置作为参与者在t2时的活动和受欢迎程度的主要自变量。结果证实,随着时间的推移,很少有参与者能够保持中心地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The roles actors play in policy networks: Central positions in strongly institutionalized fields
Abstract Centralities are a widely studied phenomenon in network science. In policy networks, central actors are of interest because they are assumed to control information flows, to link opposing coalitions and to directly impact decision-making. First, we study what type of actor (e.g., state authorities or interest groups) is able to occupy central positions in the highly institutionalized context of policy networks. Second, we then ask whether bonding or bridging centralities prove to be more stable over time. Third, we investigate how these types of centrality influence actors’ positions in a network over time. We therefore adopt a longitudinal perspective and run exponential random graph models, including lagged central network positions at t1 as the main independent variable for actors’ activity and popularity at t2. Results confirm that very few actors are able to maintain central positions over time.
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来源期刊
Network Science
Network Science SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
3.50
自引率
5.90%
发文量
24
期刊介绍: Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.
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