Multimodal Political Networks - (Structural Analysis in the Social Sciences) by David Knoke & Mario Diani & James Hollway & Dimitris Christopoulos

Number of Pages: 250
Genre: Social Science
Sub-Genre: Sociology
Series Title: Structural Analysis in the Social Sciences
Format: Paperback
Publisher: Cambridge University Press
Age Range: Adult
Book theme: General
Author: David Knoke & Mario Diani & James Hollway & Dimitris Christopoulos
Language: English

About the Book

Theories and methods for analyzing multimodal relations connecting political entities, including voters, politicians, parties, events, and nations.

Book Synopsis

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.

Review Quotes

'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 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