Analyzing social networks using R / Stephen Borgatti, Martin Everett, Jeffrey Johnson, Filip Agneessens.
Material type:
TextPublisher: Thousand Oaks : SAGE Publications, ©2022Description: xv, 359 pages : illustrations ; 25 cmContent type: - text
- unmediated
- volume
- 9781529722475 (paperback)
- HM740 BOR
Books
| Item type | Current library | Collection | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|---|
Books
|
GSU Library Epoch General Stacks | General Collection | HM740 BOR (Browse shelf(Opens below)) | 1 | Available | 50000006579 |
Includes bibliographical references and index.
"This approachable book introduces network research in R, walking you through every step of doing social network analysis. Drawing together research design, data collection and data analysis, it explains the core concepts of network analysis in a non-technical way. The book balances an easy to follow explanation of the theoretical and statistical foundations underpinning network analysis with practical guidance on key steps like data management, preparation and visualisation. With clarity and expert insight, it: Discusses a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks Provides a fully integrated discussion of digital data and networks like Twitter, sociolab and Amazon Offers digital resources like practice datasets and worked examples that help you get to grips with R software"--
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