9781526404091-1526404095-Analyzing Social Networks

Analyzing Social Networks

ISBN-13: 9781526404091
ISBN-10: 1526404095
Edition: Second
Author: Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson
Publication date: 2018
Publisher: SAGE Publications Ltd
Format: Hardcover 384 pages
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Book details

ISBN-13: 9781526404091
ISBN-10: 1526404095
Edition: Second
Author: Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson
Publication date: 2018
Publisher: SAGE Publications Ltd
Format: Hardcover 384 pages

Summary

Analyzing Social Networks (ISBN-13: 9781526404091 and ISBN-10: 1526404095), written by authors Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson, was published by SAGE Publications Ltd in 2018. With an overall rating of 4.1 stars, it's a notable title among other Methodology (Social Sciences) books. You can easily purchase or rent Analyzing Social Networks (Hardcover) from BooksRun, along with many other new and used Methodology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $18.03.

Description

Designed to walk beginners through core aspects of collecting, visualizing, analyzing, and interpreting social network data, this book will get you up-to-speed on the theory and skills you need to conduct social network analysis. Using simple language and equations, the authors provide expert, clear insight into every step of the research process―including basic maths principles―without making assumptions about what you know. With a particular focus on NetDraw and UCINET, the book introduces relevant software tools step-by-step in an easy to follow way.

In addition to the fundamentals of network analysis and the research process, this Second Edition focuses on:

  • Digital data and social networks like Twitter
  • Statistical models to use in SNA, like QAP and ERGM
  • The structure and centrality of networks
  • Methods for cohesive subgroups/community detection

Supported by new chapter exercises, a glossary, and a fully updated companion website, this text is the perfect student-friendly introduction to social network analysis.

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