Analyzing social networks using R /
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...
| Main Authors: | , , , |
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| Format: | Book |
| Language: | English |
| Published: |
Los Angeles :
SAGE Publications,
[2022].
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| Subjects: |
| Summary: | 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 visualization. With clarity and expert insight, it discusses measures and techniques for analyzing social network data, including digital media, explains a range of statistical models including QAP and ERGM, giving you the tools to approach different types of networks and offers digital resources like practice datasets and worked examples that help you get to grips with R software. |
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| Physical Description: | xviii, 359 pages : illustrations ; 26 cm. |
| Bibliography: | Includes bibliographical references (pages [341]-349) and index. |
| ISBN: | 9781529722482 1529722489 9781529722475 1529722470 |