Social Network Analysis for Ego-Nets: Social Network Analysis for Actor-Centred

Social Network Analysis for Ego-Nets by Nick Crossley, Elisa Bellotti, Gemma Edwards, Martin G. Everett, Mark Tranmer, Johan Henrik Koskinen

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Format Paperback

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Description A cutting edge, practical guide to actor-centred social network analysis from the highly respected team at the University of Manchester.

Publisher Description

The ego-net approach to social network analysis, which takes discrete individual actors and their contacts as its starting point, is one of the most widely used approaches in the field. This is the first textbook to take readers through each stage of ego-net research, from conception, through research design and data gathering to analysis. It starts with the basics, assuming no prior knowledge of social network analysis, but then moves on to introduce cutting edge innovations, covering both new statistical approaches to ego-net analysis and also the most recent thinking on mixing methods (quantitative and qualitative) to achieve depth and rigour. It is an absolute must for anybody wishing to explore the importance of networks.

Author Biography

Nick Crossley Senior Lectuer in Sociology, University of Manchester Elisa Bellotti is a part of the department of sociology at the University of Manchester, as well as being a member of the Mitchell Centre for Social Network Analysis, where she organises the weekly seminar series. She also teaches introductory and advance workshops in social network analysis and egonetworks, and on mixed methods in SNA. Before arriving in Manchester in 2008, Elisa worked as a research fellow at the University of Turin and the University of Bozen, Italy. Gemma Edwards is Senior Lecturer in Sociology at the University of Manchester. She researches historical and contemporary social movements, with a particular focus on the question of why people participate in protest. She has researched participation in public sector trade unions and women's movements. She has expertise in mixed method social network analysis, and has applied this method to historical research on the UK suffragette movement. She is author of the book Social Movements and Protest (2014), an editor of the journal Social Movement Studies, and a member of the Mitchell Centre for Social Network Analysis.  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.  Dr. Johan Koskinen is a senior lecturer in social network analysis in the Melbourne School of Psychological Sciences. He has previously worked at the Universities of Manchester, Oxford, and Stockholm. A statistician by training he has primarily made methodological contributions to the analysis of cross-sectional and dynamic network data and been published in Annals of Applied Statistics, Psychometrika, and Journal of Statistical Planning and Inference, among others. He has also facilitated methodologically innovative research with a substantive focus that has been published in journals such as Quantitate Criminology, European Sociological Review, and Social Networks. Dr. Koskinen has been active in disseminating current best methods through frequent training and books such as the award-winning book on exponential random graph models.

Details ISBN 1446267776 ISBN-13 9781446267776 Title Social Network Analysis for Ego-Nets Author Nick Crossley, Elisa Bellotti, Gemma Edwards, Martin G. Everett, Mark Tranmer, Johan Henrik Koskinen Format Paperback Year 2015 Pages 208 Publisher Sage Publications Ltd GE_Item_ID:134573705; About Us

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