Policy Networks in Britain

2017 ◽  
Author(s):  
R. A. W. Rhodes
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Group Dynamics ◽  
Intergovernmental Relations ◽  
Policy Networks ◽  
Analysis Group ◽  
Micro Level ◽  
Industry Relations ◽  
Level Of Analysis ◽  
The Eu

In an assessment of the distinctive British contribution to the study of policy networks, the chapter reviews, first, the micro-level of analysis: group dynamics, and social network analysis. Second, it examines the meso-level of analysis: interorganizational analysis, subgovernments, and intergovernmental relations. Third, it looks at the macro-level of analysis: political economy, and neo-pluralism. It assesses the British contributions looking at the Rhodes model, the ESRC’s government–industry relations initiative. The chapter suggests that we disaggregate and explore subsectoral variations, extend the analysis to the EU, and provide more case studies of networks ‘in action’. The article was written in 1990. The Afterword reflects on the success of the concept, which has become the standard fare of textbooks.

scholarly journals Nursing Students’ Subjective Happiness: A Social Network Analysis

2021 ◽  
Vol 18 (21) ◽  
pp. 11612
Author(s):  
Eun-Joo Kim ◽  
Ji-Young Lim ◽  
Geun-Myun Kim ◽  
Seong-Kwang Kim
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Nursing Students ◽  
Network Analysis ◽  
Group Dynamics ◽  
Future Research ◽  
Subjective Happiness ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
High Level

Improving nursing students’ subjective happiness is germane for efficiency in the nursing profession. This study examined the subjective happiness of nursing students by applying social network analysis (SNA) and developing a strategy to improve the subjective happiness of nursing. The study adopted a cross sectional survey to measure subjective happiness and social network of 222 nursing students. The results revealed that the centralization index, which is a measure of intragroup interactions from the perspective of an entire network, was higher in the senior year compared with the junior year. Additionally, the indegree, outdegree, and centrality of the social network of students with a high level of subjective happiness were all found to be high. This result suggests that subjective happiness is not just an individual’s psychological perception, but can also be expressed more deeply depending on the subject’s social relationships. Based on the study’s results, to strengthen self-efficacy and resilience, it is necessary to utilize strategies that activate group dynamics, such as team activities, to improve subjective happiness. The findings can serve as basic data for future research focused on improving nursing students’ subjective happiness by consolidating team-learning social networks through a standardized program approach within a curriculum or extracurricular programs.

Using Social Network Analysis to Better Understand Compulsive Exercise Behavior Among a Sample of Sorority Members

2017 ◽  
Vol 14 (5) ◽  
pp. 360-367 ◽  
Author(s):  
Megan S. Patterson ◽  
Patricia Goodson
Keyword(s):  
Physical Activity ◽  
Eating Disorders ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Body Dissatisfaction ◽  
Group Dynamics ◽  
Exercise Behavior ◽  
Quadratic Assignment ◽  
Compulsive Exercise

Background:Compulsive exercise, a form of unhealthy exercise often associated with prioritizing exercise and feeling guilty when exercise is missed, is a common precursor to and symptom of eating disorders. College-aged women are at high risk of exercising compulsively compared with other groups. Social network analysis (SNA) is a theoretical perspective and methodology allowing researchers to observe the effects of relational dynamics on the behaviors of people.Methods:SNA was used to assess the relationship between compulsive exercise and body dissatisfaction, physical activity, and network variables. Descriptive statistics were conducted using SPSS, and quadratic assignment procedure (QAP) analyses were conducted using UCINET.Results:QAP regression analysis revealed a statistically significant model (R2 = .375, P < .0001) predicting compulsive exercise behavior. Physical activity, body dissatisfaction, and network variables were statistically significant predictor variables in the QAP regression model.Discussion:In our sample, women who are connected to “important” or “powerful” people in their network are likely to have higher compulsive exercise scores. This result provides healthcare practitioners key target points for intervention within similar groups of women. For scholars researching eating disorders and associated behaviors, this study supports looking into group dynamics and network structure in conjunction with body dissatisfaction and exercise frequency.

scholarly journals Institutions and Civil Society Relations in Migori County (Kenya): A Social Network Analysis of Weak and Strong Ties

2020 ◽  
Vol 15 (11) ◽  
pp. 1
Author(s):  
Teodora Erika Uberti ◽  
Francesco Salsano
Keyword(s):  
Social Network ◽  
Civil Society ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Policy Networks ◽  
Civil Society Organizations ◽  
Strong Ties ◽  
The Core ◽  
Health And Nutrition ◽  
Core Actor

The goal of this paper is to investigate policy networks in Migori, a small county in the Western part of Kenya, near the border with Tanzania and Victoria Lake. In this study we build a unique network database and we use Social Network Analysis techniques to detect the structural relations among different stakeholders (e.g. institutions and civil society actors) within this county and we focus on different topics (i.e. overall interactions, training and cooperation, and for specific decision making on health and nutrition, and agricultural issues). The main results show the importance to distinguish, in policy networks, the rationale of interactions and their intensity, i.e. weak or strong ties. Institutions and civil society organizations are differently connected according to the functions and intensity of networks in which they operate. For example, for health and nutrition the Ministry is the core actor; the opposite occurs in agriculture, where local communities are the core players; and finally in training and coordination we have an intermediate layout, if compared to the two previous ones.

scholarly journals Basic Criteria, Models, and Indicators of Intersectoral Collaboration in Health Promotion: A Scoping Review

2021 ◽  
Author(s):  
Mohammad Reza Amir Esmaili ◽  
Behzad Damari ◽  
Ahmad Hajebi ◽  
Noora Rafiee ◽  
Reza Goudarzi ◽  
...  
Keyword(s):  
Health Promotion ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scoping Review ◽  
Web Of Science ◽  
Decision Makers ◽  
Macro Level ◽  
Intersectoral Collaboration ◽  
Micro Level

Background: In this study, the basic criteria, models, and indicators of intersectoral collaboration in health promotion were investigated to facilitate the implementation of collaboration. Methods: This scoping review was conducted using datasets of Embase, Web of Science, Scopus, and PubMed, and search engines of Google, Google Scholar, and ProQuest. Results: 52 studies were included, and 32 codes in Micro, Meso, and Macro level, were obtained. Micro-level criteria had the highest frequency. Among the models used in the reviewed studies, social network analysis, Diagnosis of Sustainable Collaboration, Bergen, and logic models had the highest frequency. Among the indicators studied, the number of participants and the level of collaboration as well as its sustainability were the most frequent indicators. Conclusion: The findings identified the most important and widely used criteria, models, and indicators of intersectoral collaboration in health promotion which can be useful for decision-makers and planners in the domain of health promotion, in designing, implementing, and evaluating collaborative programs.

Policy Networks and Policy-making in the European Union

2017 ◽  
Author(s):  
R. A. W. Rhodes
Keyword(s):  
Policy Process ◽  
Policy Making ◽  
Policy Networks ◽  
The European Union ◽  
Power Dependence ◽  
Policy Area ◽  
Eu Policy ◽  
Functional Representation ◽  
Level Of Analysis ◽  
The Eu

Policy networks travel well and help us to understand EU policy-making. The chapter reviews the literature up to 1996 and identifies the main objections to using the concept to study the EU: explanation, level of analysis, institutions, boundaries, and policy. The chapter discusses the limits to policy networks and the conditions under which they work. The factors sustaining EU policy networks include: the national style of policy-making, degree of resource/power dependence, characteristics of the policy area, stage of the policy process, degree of aggregation, and functional representation. The Afterword assesses the record and concludes that policy networks became part of the conceptual vocabulary of studies of EU policy.

Dyadic, Nodal, and Group-Level Approaches to Study the Antecedents and Consequences of Networks

2020 ◽  
pp. 187-218
Author(s):  
Filip Agneessens
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Relations ◽  
Group Level ◽  
The Social ◽  
Approaches To Study ◽  
Antecedents And Consequences ◽  
Level Of Analysis

Social network analysis encompasses a variety of methods to study the social relations and social interactions between individual units in a group. This chapter offers an overview of the types of research questions that can be answered with social network analysis and discusses appropriate statistical methods and network sampling approaches to answer such questions. Six basic types of models are identified, based on two criteria: (1) whether the researchers are interested in the antecedents of networks and/or their consequences and (2) the appropriate level of analysis, in particular the dyadic, nodal, or group level. Extensions and variations of these six basic models are discussed, for example models where networks take on the role of mediator or moderator, as well as models that incorporate multiple levels of analysis and models that integrate network antecedents and network consequences simultaneously.

Cooperation and polarization in a Presidential Congress: Policy networks in the Chilean Lower House 2006–2017

Politics ◽  
2019 ◽  
Vol 40 (2) ◽  
pp. 227-244
Author(s):  
Carmen Le Foulon Morán
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Agenda Setting ◽  
Policy Networks ◽  
Degree Of Polarization ◽  
Roll Call ◽  
Party Discipline ◽  
Lower House

The joint initiation of legislation is one of the most important forms of collaboration within Congress, and the nature of such relations may affect its responsiveness. Through social network analysis, this article analyses the evolution of cohesion and polarization of policy networks for the Chilean Lower House from 2006 until 2017, comparing those derived from all bills from those that emerge when considering only successful ones. Although scholars consider that initiation of legislation is mostly free of party discipline or policy gatekeeping, networks recovered from all bills despite being highly cohesive replicate the roll-call divisions during all years under analysis. Among networks derived from successful bills – those able to overcome policy gatekeeping, collaboration crosses the ideological divide. These results imply that agenda setting plays a different role on policy collaboration than on voting and emphasize the relevance of the partisan dimension in agenda setting influence presented by Tsebelis and Aleman. Whereas the institutional prerogatives in the Lower House did not change after 2006, the partisan configuration did, which might explain the different degree of polarization among networks of successful bills found before 2006 by other studies.

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