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.

Analysing Ego-Net Data

Learning Outcomes

By the end of the chapter you will be able to:

  • Calculate and interpret standard measures for ego-nets.
  • Analyse and visualise ego-nets in UCINET, NetDraw and E-Net.
  • Combine ego-net data with other attribute data using standard statistical models.


In this chapter we look at descriptive methods and tools for analysing ego-net data. Having outlined a number of important measures for ego-net analysis we focus on two software packages designed for social network analysis: namely, UCINET (Borgatti et al. 2002) and E-Net (Borgatti 2006). The package UCINET is designed for looking at whole networks and not ego-nets but it can be used to analyse ego-net data. E-Net, as the name suggests, has been specifically designed for ego-nets. However, as mentioned in the first chapter, ego-nets ...

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