- 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 examines the role of democracy and other characteristics that affect cooperation and conflict in the traditional literature. It assesses the more recent contribution of network analytic studies to the understanding of conflict and cooperation processes. Key contributions of network studies include controlling for network effects on dyadic conflict and cooperation, corroborating some of the key results of non-network studies, and clarifying important debates in the literature on cooperation and conflict. Most of the contributions of the network analytic studies of conflict and cooperation are dyadic in nature. The few systemic or group-level analyses of international cooperation show significant promise, but until recently there has been little effort to extend traditional units of analysis to some of the more important units derived from network analysis. The chapter demonstrates some of the potential of such approaches via an analysis of democracy’s role in the emergence of cooperative international communities.
Keywords: international networks, cooperative communities, democracy, interdependence, network effects
Department of Political Science, University of California, Davis Distinguished Fellow, Interdisciplinary Center, Herzliya Israel
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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