9781107131439-110713143X-Egocentric Network Analysis: Foundations, Methods, and Models (Structural Analysis in the Social Sciences, Series Number 44)

Egocentric Network Analysis: Foundations, Methods, and Models (Structural Analysis in the Social Sciences, Series Number 44)

ISBN-13: 9781107131439
ISBN-10: 110713143X
Author: Brea L. Perry, Bernice A. Pescosolido, Stephen P. Borgatti
Publication date: 2018
Publisher: Cambridge University Press
Format: Hardcover 366 pages
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Book details

ISBN-13: 9781107131439
ISBN-10: 110713143X
Author: Brea L. Perry, Bernice A. Pescosolido, Stephen P. Borgatti
Publication date: 2018
Publisher: Cambridge University Press
Format: Hardcover 366 pages

Summary

Egocentric Network Analysis: Foundations, Methods, and Models (Structural Analysis in the Social Sciences, Series Number 44) (ISBN-13: 9781107131439 and ISBN-10: 110713143X), written by authors Brea L. Perry, Bernice A. Pescosolido, Stephen P. Borgatti, was published by Cambridge University Press in 2018. With an overall rating of 4.2 stars, it's a notable title among other books. You can easily purchase or rent Egocentric Network Analysis: Foundations, Methods, and Models (Structural Analysis in the Social Sciences, Series Number 44) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Egocentric network analysis is used widely across the social sciences, especially in anthropology, political science, economics, and sociology, and is increasingly being employed in communications, informatics, and business and marketing studies. Egocentric network analysis requires a unique set of data collection and analysis skills that overlap only minimally with other network methodologies. However, until now there has been no single reference for conceptualizing, collecting, and analyzing egocentric social network data. This comprehensive guide to study design, data collection, and analysis brings together the state of knowledge with the most effective research tools to guide newcomers to this field. It is illustrated with many engaging examples and graphics and assumes no prior knowledge. Covering the entire research process in a logical sequence, from conceptualizing research questions to interpreting findings, this volume provides a solid foundation for researchers at any stage of their career to learn and apply ego network methods.
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