Can I read Network Analysis: Integrating Social Network Theory, Method, and Application with R (Structural Analysis in the Social Sciences) on EtoBox?

Network Analysis: Integrating Social Network Theory, Method, and Application with R (Structural Analysis in the Social Sciences) by Craig M. Rawlings, Jeffrey A. Smith, James Moody & Daniel A. McFarland is a nonfiction available to read on EtoBox.

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

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.

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

Author

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

Publisher

Cambridge University Press (Virtual Publishing)

Published

2023

Language

EN

ISBN

9781107611900

Category

nonfiction

Subjects

Social Science, Sociology, Social Sciences