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Look Inside Multimodal Political Networks

Multimodal Political Networks

Part of Structural Analysis in the Social Sciences

Authors:
David Knoke, University of Minnesota
Mario Diani, University of Trento, Italy
James Hollway, Graduate Institute of International and Development Studies, Geneva
Dimitris Christopoulos, MU Vienna and Edinburgh Business School

Date Published: May 2021
availability: Not yet published - available from October 2024
format: Paperback
isbn: 9781108984720

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About the Authors

Research on social networks has become a significant area of investigation in the social sciences, and social network concepts and tools are widely employed across many subfields within the field. This volume introduces political theorists and researchers to new theoretical, methodological, and substantive tools for extending political network research into new realms and revitalizing established domains. The authors synthesize new understandings of multimodal political networks, consisting of two or more types of social entities - voters, politicians, parties, events, organizations, nations - and the complex relations between them. They discuss ways to theorize about multimodal connections, methods for measuring and analyzing multimodal datasets, and how the results can reveal new insights into political structures and action. Several empirical applications demonstrate in great detail how multimodal analysts can detect and visualize political communities consisting of diverse social entities.
- Addresses gaps in the literature on multimodal analysis
- Suitable for readers with a basic familiarity with social network analysis
- Suggests future research applications of multimodal ideas
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Reviews & endorsements
'This book is a must have and must read for all policy researchers and social scientists interested in social network analysis and its application. It allows for the right mix between 'keeping complexity' to grasp the intricacies of the political game and 'reducing complexity' to come to systematic, comparative, and generalizable results. It gives essential guidelines on how to analyze two- and multi-mode networks.' Karin Ingold, University of Bern
'If you need to model 3-mode networks combining, for example, persons, organizations and events, this book is the perfect methodological and illustrative introduction to the new formalisms that have emerged for empirical explorations and theory building in the last decade, and that keep emerging today.' Emmanuel Lazega, Sciences Po, Paris
'this work brings together four international experts to provide robust exploration of multimodality in different types of political networks and demonstrate how computational social network analysis may be applied in their study ... The book would be a valuable addition to library collections supporting research in political science ... Recommended.' K. J. Whitehair, Choice
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Product details
- Date Published: May 2021
- format: Paperback
- isbn: 9781108984720
- length: 250 pages
- dimensions: 150 x 230 x 20 mm
- weight: 0.44kg
- availability: Not yet published - available from October 2024
Table of Contents
1. Politics, Communities, and Power
2. Multimodal Graphs and Matrices
3. Agency, Influence, Power
4. Political Communities in a Policy Network
5. Individuals in Associations: Structuring Civil Society
6. Agents and Events in Collective Action Fields
7. Nations Trading and Fighting
8. Legislative Influence
9. The Potential of Multimodal Political Networks.
Look Inside
Authors
David Knoke, University of Minnesota
David Knoke is Professor of Sociology at the University of Minnesota.
Mario Diani, University of Trento, Italy
Mario Diani is Professor of Sociology at the University of Trento.
James Hollway, Graduate Institute of International and Development Studies, Geneva
James Hollway is Associate Professor of International Relations/Political Science at the Graduate Institute, Geneva.
Dimitris Christopoulos, MU Vienna and Edinburgh Business School
Dimitris Christopoulos is Director of Research at Edinburgh Business School and Associate Professor at MU Vienna.