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.
Nick Crossley Senior Lectuer in Sociology, University of Manchester
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