9781107037786-1107037786-Network Analysis: Integrating Social Network Theory, Method, and Application with R (Structural Analysis in the Social Sciences)

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

ISBN-13: 9781107037786
ISBN-10: 1107037786
Author: James Moody, Craig M. Rawlings, Jeffrey A. Smith, Daniel A. McFarland
Publication date: 2023
Publisher: Cambridge University Press
Format: Hardcover 275 pages
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ISBN-13: 9781107037786
ISBN-10: 1107037786
Author: James Moody, Craig M. Rawlings, Jeffrey A. Smith, Daniel A. McFarland
Publication date: 2023
Publisher: Cambridge University Press
Format: Hardcover 275 pages

Summary

Network Analysis: Integrating Social Network Theory, Method, and Application with R (Structural Analysis in the Social Sciences) (ISBN-13: 9781107037786 and ISBN-10: 1107037786), written by authors James Moody, Craig M. Rawlings, Jeffrey A. Smith, Daniel A. McFarland, was published by Cambridge University Press in 2023. With an overall rating of 4.5 stars, it's a notable title among other books. You can easily purchase or rent Network Analysis: Integrating Social Network Theory, Method, and Application with R (Structural Analysis in the Social Sciences) (Hardcover, Used) 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 $0.62.

Description

The size and availability of network information has exploded over the last decade. Social scientists now share the stage of network analysis with computer scientists, physicists, and statisticians. While a number of introductions to network analysis are now available, most focus on theory, methods, or application alone. This book integrates all three. Network Analysis is an introduction to both the why and how of Social Network Analysis (SNA). It presents a broad theoretical overview rooted in social scientific approaches and guides users in how network analysis can answer core theoretical questions. It provides a comprehensive overview of descriptive and analytical approaches, including practical tutorials in R with sample data sets. Using an integrated approach, this book aims to quickly bring novice network researchers up to speed while avoiding common programming and analysis mistakes so that they might gain insight into the fundamental theories, key concepts, and methodological application of SNA.

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