Sage Publications Social Network Analysis for Ego-Nets

Product 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. Review Finally, a book on ego-centered networks! This new book provides a comprehensive introduction into the quantitative and qualitative analysis of egonets. It is very accessible for students who are new to the field and a valuable reference for researchers already working in it. -- Miranda Lubbers This book fills a sizeable void in scholars’ bookshelves, especially those of researchers and practitioners whom are focused on human-relationships. It is a comprehensive introduction to the insightful task of performing social network analysis (SNA) on ego-nets. -- Terrill L. Frantz About the Author Nick Crossley Senior Lectuer in Sociology, University of Manchester 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 at the University of Manchester. After studying mathematics as an undergraduate and at masters level, he undertook a doctorate in social network analysis. He has over over 30 years of experience of social networks and has contributed to over 100 publications. He is a co-developer of the network analysis software UCINET  and is co-editor of the international journal Social Networks. He is a past president of INSNA (The International Network for Social Network Analysis) and a Simmel award holder (the highest award given by INSNA for contributions to research). He has regularly given keynote speeches at international conferences and has consulted to both government agencies and private companies on the use and application of social network analysis. 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.