Stephen P. Borgatti
Similar authors to follow
Manage your follows
About Stephen P. Borgatti
I'm a professor in the Dept. of Management at the University of Kentucky. I study social networks and social cognition, and attend the annual Sunbelt social networks conference religiously. I am an avid reader of science fiction, mostly through Audible.com.
Customers Also Bought Items By
Titles By Stephen P. Borgatti
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 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
• Offers digital resources like practice datasets and worked examples that help you get to grips with R software
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.