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Egocentric Network Analysis: Foundations, Methods, and Models: 44 (Structural Analysis in the Social Sciences, Series Number 44) - Hardcover
Synopsis
Egocentric network analysis is used widely across the social sciences, especially in anthropology, political science, economics, and sociology, and is increasingly being employed in communications, informatics, and business and marketing studies. Egocentric network analysis requires a unique set of data collection and analysis skills that overlap only minimally with other network methodologies. However, until now there has been no single reference for conceptualizing, collecting, and analyzing egocentric social network data. This comprehensive guide to study design, data collection, and analysis brings together the state of knowledge with the most effective research tools to guide newcomers to this field. It is illustrated with many engaging examples and graphics and assumes no prior knowledge. Covering the entire research process in a logical sequence, from conceptualizing research questions to interpreting findings, this volume provides a solid foundation for researchers at any stage of their career to learn and apply ego network methods.
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Book Description
Egocentric network analysis is used widely across the social, information, and health sciences. Until now, there has been no single reference for researchers seeking guidance on best practice in egocentric network analysis. This book fills this gap, synthesizing a diverse and diffuse body of knowledge on this method and its applications.
About the Author
Brea L. Perry is Associate Professor of Sociology at Indiana University and an affiliate of the Network Science Institute.
Stephen P. Borgatti is Paul Chellgren Endowed Chair and Professor of Management in the Gatton College of Business and Economics, University of Kentucky.
Bernice A. Pescosolido is Distinguished Professor of Sociology at Indiana University and Co-Director of the Network Science Institute.
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date2018
- ISBN 10 110713143X
- ISBN 13 9781107131439
- BindingHardcover
- LanguageEnglish
- Number of pages366
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Egocentric Network Analysis : Foundation, Methods, and Models
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EGOCENTRIC NETWORK ANALYSIS
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Egocentric Network Analysis : Foundation, Methods, and Models
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Hardcover. Condition: new. Hardcover. Egocentric network analysis is used widely across the social sciences, especially in anthropology, political science, economics, and sociology, and is increasingly being employed in communications, informatics, and business and marketing studies. Egocentric network analysis requires a unique set of data collection and analysis skills that overlap only minimally with other network methodologies. However, until now there has been no single reference for conceptualizing, collecting, and analyzing egocentric social network data. This comprehensive guide to study design, data collection, and analysis brings together the state of knowledge with the most effective research tools to guide newcomers to this field. It is illustrated with many engaging examples and graphics and assumes no prior knowledge. Covering the entire research process in a logical sequence, from conceptualizing research questions to interpreting findings, this volume provides a solid foundation for researchers at any stage of their career to learn and apply ego network methods. Egocentric network analysis is used widely across the social, information, and health sciences. Until now, there has been no single reference for researchers seeking guidance on best practice in egocentric network analysis. This book fills this gap, synthesizing a diverse and diffuse body of knowledge on this method and its applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781107131439
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Egocentric Network Analysis : Foundation, Methods, and Models
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Egocentric Network Analysis: Foundations, Methods, and Models (Structural Analysis in the Social Sciences, Series Number 44)
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