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Social Network Analysis for Ego-Nets


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Table of Contents

Chapter 1: Introduction Chapter 2: Social Capital and Small Worlds - A Primer Chapter 3: Getting Ego-Nets Chapter 4: Analysing Ego-Net Data Chapter 5: Narratives, Typologies and Case Studies Chapter 6: Multilevel Models for Cross-Sectional Ego-Nets Chapter 7: Statistical Analysis of Network Dynamics

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.


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

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