Network Analysis (Paperback)
Language: English
Published by Cambridge University Press, Cambridge, 2023
- Softcover
- New
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
£ 49.99
Quantity: 1 available
Add to basketItem description from seller
Paperback. 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. For both students and professionals seeking to understand the burgeoning field of network analysis, our text offers a comprehensive overview that integrates theory, method, and cutting-edge application with R (a free platform that is becoming the standard for the field). This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
Seller Inventory # 9781107611900
- Title
- Network Analysis (Paperback)
- Author
- Daniel A. McFarland
- Publisher
- Cambridge University Press, Cambridge
- Publication year
- 2023
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1107611903
- ISBN 13
- 9781107611900
"Synopsis" may belong to another edition of this title.
About the Author
Jeffrey A. Smith is Associate Professor of Sociology at the University of Nebraska–Lincoln. He has done methodological work on network sampling and missing data, as well as more substantive work on network processes, drug use, and health outcomes. His work has been published in the American Sociological Review, Sociological Methodology, Social Networks, and other venues.
James Moody is Professor of Sociology at Duke University and focuses on the network foundations of social cohesion and diffusion, using networks to help understand topics including racial segregation, disease spread, and the development of scientific disciplines. He has won the Freeman Award for contributions to network analysis and a James S. McDonnel Foundation Complexity Scholars award.
Daniel A. McFarland is Professor of Education and (by courtesy) Sociology and Organizational Behavior at Stanford University, where he founded Stanford's Center for Computational Social Science. His past work studied social network dynamics of communication, relationships, affiliations, and knowledge structures in educational contexts. His current work integrates social network analysis and natural language processing to study the development of scientific knowledge.
"About the title" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
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