Network Analysis: Integrating Social Network Theory, Method, and Application with R (Structural Analysis in the Social Sciences)

Rawlings, Craig M.,Smith, Jeffrey A.,Moody, James,McFarland, Daniel A.

ISBN 10: 1107037786 / ISBN 13: 9781107037786

Published by Cambridge University Press, 2023

About this Item

Seller Inventory # mon0003767793

Bibliographic Details

Title: Network Analysis: Integrating Social Network...

Publisher: Cambridge University Press

Publication Date: 2023

Binding: hardcover

Condition: Very Good

About this title

Synopsis:

A comprehensive yet accessible introduction to the theory, methods, and application of social network analysis.

About the Authors:

Craig M. Rawlings is Associate Professor of Sociology at Duke University where he is affiliated with the Duke Network Analysis Center. His work focuses on the connections between social structures and culture, including belief systems, knowledge, meaning-making processes, and attitude change. His publications have appeared in the American Journal of Sociology, American Sociological Review, Social Forces, Sociological Science, and Poetics.

Jeffrey A. Smith is Associate Professor of Sociology at the University of Nebraska–Lincoln. He has done methodological work on network sampling and missing data, as well as more substantive work on network processes, drug use, and health outcomes. His work has been published in the American Sociological Review, Sociological Methodology, Social Networks, and other venues.

James Moody is Professor of Sociology at Duke University and focuses on the network foundations of social cohesion and diffusion, using networks to help understand topics including racial segregation, disease spread, and the development of scientific disciplines. He has won the Freeman Award for contributions to network analysis and a James S. McDonnel Foundation Complexity Scholars award.

Daniel A. McFarland is Professor of Education and (by courtesy) Sociology and Organizational Behavior at Stanford University, where he founded Stanford's Center for Computational Social Science. His past work studied social network dynamics of communication, relationships, affiliations, and knowledge structures in educational contexts. His current work integrates social network analysis and natural language processing to study the development of scientific knowledge.