Network Analysis: Integrating Social Network Theory, Method, and Application with R by Craig M. Rawlings, Jeffrey A. Smith, James Moody, Daniel A. McFarland
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- Network Analysis: Integrating Social Network Theory, Method, and Application with R
- Craig M. Rawlings, Jeffrey A. Smith, James Moody, Daniel A. McFarland
- Page: 275
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781107611900
- Publisher: Cambridge University Press
Network Analysis: Integrating Social Network Theory, Method, and Application with R
Open ebook file free download Network Analysis: Integrating Social Network Theory, Method, and Application with R English version FB2 ePub iBook 9781107611900 by Craig M. Rawlings, Jeffrey A. Smith, James Moody, Daniel A. McFarland
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.
Network Analysis - Books
Integrating Social Network Theory, Method, and Application with R ; Publisher: Cambridge University Press ; Expected online publication date: September 2023
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Network Analysis: Integrating Social Network Theory
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Network Analysis: Integrating Social Network Theory, Method, and Application with R (Hardback) ; Publisher: Cambridge University Press ; Published: 30 Sep 2023.
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