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.

Narratives, Typologies and Case Studies

Learning Outcomes

In this chapter you will learn:

  • Why and how to draw upon qualitative data – not only in the construction of ego-nets (Chapter Two) but in the analysis of ego-nets as well.
  • The value of a narrative analysis of ego-nets, which explores ‘network stories’ and perceives networks as narrative constructions.
  • Mixed methods approaches to ego-net analysis, combining factors of network culture and network structure.
  • How typologies and case studies are useful in ego-net analysis.


The previous chapter has discussed how ego-networks and their properties can be investigated using the formal methods of SNA. In addition to these techniques, there are ways to analyse ego-networks that seek to utilise qualitative data about ties and relationships, and to draw upon qualitative data as a central ...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles