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Analyzing Social Networks

Buch | Hardcover
304 Seiten
2013
SAGE Publications Ltd (Verlag)
978-1-4462-4740-2 (ISBN)
103,50 inkl. MwSt
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Providing readers with a complete guide to this methods from the authorities in the field, this book takes students through the entire process involved in analysing social networks
Written by a stellar team of experts, Analyzing Social Networks is a practical book on how to collect, visualize, analyze and interpret social network data with a particular emphasis on the use of the software tools UCINET and Netdraw.





The book includes a clear and detailed introduction to the fundamental concepts of network analyses, including centrality, subgroups, equivalence and network structure, as well as cross-cutting chapters that helpfully show how to apply network concepts to different kinds of networks.





Written using simple language and notation with few equations, this book masterfully covers the research process, including:


· The initial design stage


· Data collection and manipulation


· Measuring key variables


· Exploration of structure


· Hypothesis testing


· Interpretation





This is an essential resource for students, researchers and practitioners across the social sciences who want to use network analysis as part of their research.


Available with Perusall—an eBook that makes it easier to prepare for class

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Stephen P. Borgatti, PhD 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 as cross-disciplinary journals such as Science and Social Networks. He has published over 100 peer-reviewed articles on network analysis, garnering more than 80,000 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 two-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 C. Johnson, PhD is University Term Professor of Anthropology at the University of Florida. He is 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 is a winner of INSNA’s Simmel Award for lifetime achievement. 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 is the author of Selecting Ethnographic Informants (Sage, 1990).

Preface
Introduction
Mathematical Foundations
Research Design
Data Collection
Data Management
Multivariate Techniques Used in Network Analysis
Visualization
Testing Hypotheses
Characterizing Whole Networks
Centrality
Subgroups
Equivalence
Analyzing Two-Mode Data
Large Networks
Ego Networks

Erscheint lt. Verlag 14.5.2013
Verlagsort London
Sprache englisch
Maße 186 x 232 mm
Gewicht 700 g
Themenwelt Sozialwissenschaften Soziologie Empirische Sozialforschung
ISBN-10 1-4462-4740-6 / 1446247406
ISBN-13 978-1-4462-4740-2 / 9781446247402
Zustand Neuware
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