9781108833509-1108833500-Multimodal Political Networks (Structural Analysis in the Social Sciences, Series Number 50)

Multimodal Political Networks (Structural Analysis in the Social Sciences, Series Number 50)

ISBN-13: 9781108833509
ISBN-10: 1108833500
Author: Mario Diani, David Knoke, James Hollway, Dimitris Christopoulos
Publication date: 2021
Publisher: Cambridge University Press
Format: Hardcover 250 pages
Category: Sociology
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Book details

ISBN-13: 9781108833509
ISBN-10: 1108833500
Author: Mario Diani, David Knoke, James Hollway, Dimitris Christopoulos
Publication date: 2021
Publisher: Cambridge University Press
Format: Hardcover 250 pages
Category: Sociology

Summary

Multimodal Political Networks (Structural Analysis in the Social Sciences, Series Number 50) (ISBN-13: 9781108833509 and ISBN-10: 1108833500), written by authors Mario Diani, David Knoke, James Hollway, Dimitris Christopoulos, was published by Cambridge University Press in 2021. With an overall rating of 3.8 stars, it's a notable title among other Sociology books. You can easily purchase or rent Multimodal Political Networks (Structural Analysis in the Social Sciences, Series Number 50) (Hardcover) from BooksRun, along with many other new and used Sociology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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