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Social Network Analysis for Ego-Nets
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Social Network Analysis for Ego-Nets



July 2015 | 208 pages | SAGE Publications Ltd

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.

 
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

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
UAB Barcelona, Spain

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
Computational and Mathematical Organization Theory

Crossley and colleague have produced an excellent book on Social Network Analysis. The book is informative and useful for students and researchers alike. I highly recommend the book

Dr Dirk vom Lehn
The Department of Management, King's College London
September 3, 2015

The book cover a wide spectrum of social network syllabus. It is very clear and concise. it is well written.

Professor Felix Requena
Sociology , University of Malaga
September 3, 2015

Must have book for anyone conducting egocentric SNA research. Provides practical guidance on the design and analysis of egocentric projects and is an easily accessible text.

Mr Sebastin Stevens
Faculty of Social Science and Business, University of Plymouth
August 7, 2015

This book is the new standard for analyzing ego-nets. Many researchers have been waiting for this book. Easy to read and comprehend. Just fantastic.

Dr Andreas Klaerner
Department of Social Science, University of Hamburg
June 25, 2015

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Sample Materials & Chapters

Social Network Analysis for Ego-Nets: Introduction


Nick Crossley

Nick Crossley Senior Lectuer in Sociology, University of Manchester More About Author

Elisa Bellotti

Gemma Edwards

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.  More About Author

Martin G. Everett

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... More About Author

Johan Koskinen

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... More About Author

Mark Tranmer

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