- The Oxford Handbook of Political Networks
- About the Editors
- Contributors
- Acknowledgments
- Introduction: The Emergence of the Study of Networks in Politics
- The Emergence of Organizations and States
- Power Structures of Policy Networks
- Political Networks and Computational Social Science
- Causal Inference in Political Networks
- Network Theory and Political Science
- Relational Concepts, Measurement, and Data Collection
- Statistical Inference in Political Networks Research
- Stochastic Actor Oriented Models for Network Dynamics
- Latent Networks and Spatial Networks in Politics
- Visualization of Political Networks
- Discourse Network Analysis: Policy Debates as Dynamic Networks
- Semantic Networks and Applications in Public Opinion Research
- Voting and Political Participation
- Social Networks and Vote Choice
- Political Parties and Campaign Finance Networks
- A Network Approach to Interest Group Politics
- No Disciplined Army: American Political Parties as Networks
- Legislative Networks
- Judicial Networks
- Discussion Networks
- Local Government Networks
- Network Segregation and Policy Learning
- Networks and European Union Politics
- Networks and the Politics of the Environment
- Health Policy Networks
- Terrorism Networks
- The International Trade Network: Empirics and Modeling
- Global Governance Networks
- Human Rights and Transnational Advocacy Networks
- Democracy and Cooperative Networks
- Arms Supply and Proliferation Networks
- Bringing Networks into Comparative Politics
- Democratic Institutions and Political Networks
- Institutions and Policy Networks in Europe
- Social Networks in the Brazilian Electorate
- Comparative Climate Change Policy Networks
- What Can Political Science Learn from Business and Management?: An Interview with Stephen P. Borgatti
- What Can Political Science Learn from Economics?: An Interview with Matthew Jackson
- What Can Political Science Learn from Sociology?: An Interview with James Moody
- What Can Political Science Learn from Mathematics?: An Interview with Peter Mucha
- What Can Political Science Learn from Computer Science?: An Interview with Derek Ruths
- What Can Political Science Learn from Statistics and Psychology?: An Interview with Stanley Wasserman
- Index
Abstract and Keywords
This chapter presents an overview of major theoretical policy network developments, disputes, and alternative models, as well as key research results. Taking a chronological approach, the first section identifies the origins of policy network research in studies of power structures and interlocking directorates. The next section examines theories of policy networks constructed on both sides of the Atlantic in the late twentieth century. The third section looks at recent policy network developments, including the emergence of global networks and applications of new theories and advanced statistical methods to policy network research. The chapter concludes that the field has greatly matured as a multidisciplinary specialty and become more institutionalized in recent years. Although it still lacks cohesion around a core set of innovative ideas that could facilitate greater integration, opportunities await for creative analysts to propose paradigms that could take policy network studies in surprising new directions.
Keywords: advocacy coalition framework, ecology of games, governance network, interlocking directorate, network exchange models, organizational state, policy network, power elite, power structure, social network theory
David Knoke is Professor of Sociology at the University of Minnesota, where he teaches and conducts research on organizations, social networks, economic sociology, and social statistics. He was a principal co‐investigator on several National Science Foundation‐funded research projects on voluntary associations, lobbying organizations in national domains, and organizational surveys of diverse establishments. A current project on the global information sector examines the evolution of a strategic alliance network among top international corporations. A forthcoming book is Social Network Analysis (2nd edition, co‐authored with Song Yang).
National University of Kyiv-Mohyla Academy
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- The Oxford Handbook of Political Networks
- About the Editors
- Contributors
- Acknowledgments
- Introduction: The Emergence of the Study of Networks in Politics
- The Emergence of Organizations and States
- Power Structures of Policy Networks
- Political Networks and Computational Social Science
- Causal Inference in Political Networks
- Network Theory and Political Science
- Relational Concepts, Measurement, and Data Collection
- Statistical Inference in Political Networks Research
- Stochastic Actor Oriented Models for Network Dynamics
- Latent Networks and Spatial Networks in Politics
- Visualization of Political Networks
- Discourse Network Analysis: Policy Debates as Dynamic Networks
- Semantic Networks and Applications in Public Opinion Research
- Voting and Political Participation
- Social Networks and Vote Choice
- Political Parties and Campaign Finance Networks
- A Network Approach to Interest Group Politics
- No Disciplined Army: American Political Parties as Networks
- Legislative Networks
- Judicial Networks
- Discussion Networks
- Local Government Networks
- Network Segregation and Policy Learning
- Networks and European Union Politics
- Networks and the Politics of the Environment
- Health Policy Networks
- Terrorism Networks
- The International Trade Network: Empirics and Modeling
- Global Governance Networks
- Human Rights and Transnational Advocacy Networks
- Democracy and Cooperative Networks
- Arms Supply and Proliferation Networks
- Bringing Networks into Comparative Politics
- Democratic Institutions and Political Networks
- Institutions and Policy Networks in Europe
- Social Networks in the Brazilian Electorate
- Comparative Climate Change Policy Networks
- What Can Political Science Learn from Business and Management?: An Interview with Stephen P. Borgatti
- What Can Political Science Learn from Economics?: An Interview with Matthew Jackson
- What Can Political Science Learn from Sociology?: An Interview with James Moody
- What Can Political Science Learn from Mathematics?: An Interview with Peter Mucha
- What Can Political Science Learn from Computer Science?: An Interview with Derek Ruths
- What Can Political Science Learn from Statistics and Psychology?: An Interview with Stanley Wasserman
- Index