Analyzing Social Networks by Stephen P. Borgatti Paperback Book

Description: Analyzing Social Networks by Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson, Filip Agneessens The definitive guide to doing network analysis using UCINET, written by world-class academics and a deft, sophisticated introduction to social network research design, data, and analysis. FORMAT Paperback CONDITION Brand New Publisher Description Kickstart your research with this practical, bestselling guide to doing social network analysis. Get to grips with the mathematical foundations and learn how to use software tools such as NeTDraw and UNICET to reach your research goals. Supporting you step-by-step through the entire research process, from design and data collection to coding, visualisation, and analysis, the book also offers:* Case studies and examples using real data * Exercises drawn from the authors decades of teaching experience * Online access to datasets, worked examples and a software manual to help you practice your skills.Whether you are new to social network analysis or an experienced researcher, this approachable book is your technical toolbox and research companion all in one. Author Biography 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 INSNAs 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). Filip Agneessens is an Associate Professor at the Department of Sociology and Social Research, University of Trento. He has published on a diversity of topics related to social networks, including measures of centrality, statistical models, ego-networks and social support, two-mode networks, negative ties, multilevel networks and issues related to data collection. He has also applied social network analysis to understand the antecedents and consequences of interactions among employees, and in particular within teams. Together with Martin Everett, he was a guest-editor for a special issue on "Advances in Two-mode Social Network Analysis" in the journal Social Networks, and together with Nick Harrigan and Joe Labianca he guest-edited a special issue on "Negative and Signed Tie Networks". He has taught numerous introductory and advanced social network courses and workshops over the last 15 years. Table of Contents CHAPTER 1: INTRODUCTIONCHAPTER 2: MATHEMATICAL FOUNDATIONSCHAPTER 3: RESEARCH DESIGNCHAPTER 4: DATA COLLECTIONCHAPTER 5: DATA MANAGEMENTCHAPTER 6: MULTIVARIATE TECHNIQUES USED IN NETWORK ANALYSISCHAPTER 7: VISUALIZATIONCHAPTER 8: LOCAL NODE-LEVEL MEASURESCHAPTER 9: CENTRALITYCHAPTER 10: GROUP-LEVEL MEASURESCHAPTER 11: SUBGROUPS AND COMMUNITY DETECTIONCHAPTER 12: EQUIVALENCECHAPTER 13: ANALYZING TWO-MODE DATACHAPTER 14: INTRODUCTION TO INFERENTIAL STATISTICS FOR COMPLETE NETWORKSCHAPTER 15: ERGMS AND SAOMS Review This is an ideal textbook for teaching and learning social network analysis, as it strikes a good balance between scope and depth, theoretical rationales and technical details, data collection and data analysis. Its a joy to read! -- Keming Yang Details ISBN1529609151 Author Filip Agneessens Edition Description 3rd Revised edition Year 2024 Edition 3rd ISBN-13 9781529609158 Format Paperback Place of Publication London Country of Publication United Kingdom Replaces 9781526404107 Alternative 9781529609165 Audience Tertiary & Higher Education ISBN-10 1529609151 Pages 360 Publisher Sage Publications Ltd Imprint Sage Publications Ltd DEWEY 302.3 Publication Date 2024-02-26 UK Release Date 2024-02-26 AU Release Date 2024-02-25 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:158359705;

Price: 85.79 AUD

Location: Melbourne

End Time: 2024-11-15T03:53:09.000Z

Shipping Cost: 4.69 AUD