eBook, ePUB

The Sage Handbook of Social Network Analysis (eBook, ePUB)

Beschreibung

This new edition of The Sage Handbook of Social Network Analysis builds on the success of its predecessor, offering a comprehensive overview of social network analysis produced by leading international scholars in the field.

Brand new chapters provide both significant updates to topics covered in the first edition, as well as discussing cutting edge topics that have developed since, including new chapters on:

· General issues such as social categories and computational social science;

· Applications in contexts such as environmental policy, gender, ethnicity, cognition and social media and digital networks;

· Concepts and methods such as centrality, blockmodeling, multilevel network analysis, spatial analysis, data collection, and beyond.

By providing authoritative accounts of the history, theories and methodology of various disciplines and topics, the second edition of The SAGE Handbook of Social Network Analysis is designed to provide a state-of-the-art presentation of classic and contemporary views, and to lay the foundations for the further development of the area.

PART 1: GENERAL ISSUES

PART 2: APPLICATIONS

PART 3: CONCEPTS AND METHODS

Technische Details

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Autor

John McLevey is Associate Professor of Knowledge Integration and Sociology & Legal Studies at the University of Waterloo (Ontario, Canada) and the principal investigator of NETLAB. His current research concentrates on (1) the multi-level network dynamics of cognition, affect, lifestyle, influence and diffusion; and (2) generative models of opinion dynamics, mis/disinformation and censorship, and political polarization. He is the author of Doing Computational Social Science and co-author of Industrial Development and Eco-Tourisms and The Face-to-Face Principle: Science, Trust, Truth, and Democracy. He recently co-edited special journal issues on social networks and anthropogenic climate change (Social Networks, 2023) and climate change, natural resource governance, and energy futures ( Society & Natural Resources, 2020). His current research is funded by the Social Sciences and Humanities Research Council of Canada. John Scott is Emeritus Professor at Plymouth University, UK, where he was pro-Vice Chancellor for Research. He is an Honorary Visiting professor at the University of Essex, the University of Exeter, and Copenhagen University. He is an established author of 44 books on social networks, documentary research, economic sociology, social stratification, and social theory. His most recent publications include British Social Theory (Sage, 2018), British Sociology: A History (Palgrave, 2020), The Emerald Guide to Max Weber (Emerald, 2019), and The Emerald Guide to Talcott Parsons (Emerald, 2020). In social network analysis he was co-editor of The SAGE Handbook of Social Network Analysis (with Peter Carrington, 2011) and Models and Methods in Social Network Analysis (with Peter Carrington and Stan Wasserman, Cambridge University Press, 2005), and wrote Social Network Analysis (Sage, 1992; 4th edition 2017). Peter Carrington is professor emeritus of the University of Waterloo, Canada, where he worked as professor of sociology. His current research project, the Canadian Criminal Careers and Criminal Networks Study, combines his long-standing interests in social network analysis and in the development of crime and delinquency. His articles have appeared in various journals, including Criminology, Journal of Quantitative Criminology, Journal of Mathematical Sociology, Social Networks, and American Journal of Psychiatry. He was editor of Canadian Journal of Criminology and Criminal Justice (2004-14) and was editor or co-editor of Applications of Social Network Analysis (Sage, 2014), The SAGE Handbook of Social Network Analysis (Sage, 2011) and Models and Methods in Social Network Analysis (Cambridge University Press, 2005).

Produktdetails

• Verlag: SAGE Publications
• Seitenzahl: 672
• Erscheinungstermin: 1. Oktober 2023
• Englisch
• ISBN-13: 9781529614671
• Artikelnr.: 68345770