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Analyzing Social Networks Using R: Your Essential Guide - Softcover

Stephen P. Borgatti; Martin G. Everett; Jeffrey C. Johnson; Filip Agneessens

 
9781529722475: Analyzing Social Networks Using R: Your Essential Guide
Softcover
ISBN 10: 1529722470 ISBN 13: 9781529722475
Verlag: SAGE Publications Ltd, 2022

Inhaltsangabe

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

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Über die Autorinnen und Autoren

Stephen Borgatti is the Gatton Endowed Chair of Management at the Gatton College of Business and Economics at the University of Kentucky. He has published extensively in management journals, as well cross-disciplinary journals such as Science and Social Networks. He has published over 100 peer-reviewed articles on network analysis, garnering more than 70,000 Google Scholar citations. With Martin Everett, Steve is co-author of UCINET, a well-known software package for social network analysis, as well as founder of the annual LINKS Center workshop on social network analysis. He is also a 2-term past President of INSNA (the professional association for network researchers) and winner of their Simmel Award for lifetime achievement.

Martin Everett is Professor of Social Network Analysis and co-director of the Mitchell Centre for SNA at the University of Manchester. He has published extensively on social network analysis and has over 100 peer-reviewed articles and consulted with government agencies as well as public and private companies. With Stephen Borgatti, Martin is co-author of UCINET, a well-known software package for social network analysis and is co-editor of the journal Social Networks. He is also a past President of INSNA (the professional association for network researchers) and winner of their Simmel Award for lifetime achievement. He was elected as an academician to the UK Academy of Social Sciences in 2004.

Jeffrey Johnson is a University Term Professor of Anthropology at the University of Florida. He was a former Program Manager with the Army Research Office (IPA) where he started the basic science research program in the social sciences. He has conducted extensive long-term research, supported by the National Science Foundation, comparing group dynamics and the evolution of social networks of over-wintering crews at the American South Pole Station, with those at the Polish, Russian, Chinese, and Indian Antarctic Stations. In related research, he has studied aspects of team cognition and social networks on success in simulated space missions. He has published extensively in anthropological, sociological, biological, aerospace, and marine science journals and was the founding editor of the Journal of Quantitative Anthropology, co-editor of the journal Human Organization, and the author of Selecting Ethnographic Informants, Sage, 1990.

Von der hinteren Coverseite

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

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Verlag
SAGE Publications Ltd
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
1529722470
ISBN 13 
9781529722475
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
472
Kontakt zum Hersteller
Sage Publications
https://knockknockstuff.com/

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Plovdiv
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Bulgarien