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.

Multilevel Models For Cross-Sectional Ego-Nets

Learning Outcomes

By the end of this chapter you will:

  • Know how to use a multilevel model to investigate variations in the values of the ties between egos and alters at a single point in time.
  • Know how to use a multilevel model to investigate how similar an outcome variable is for individuals in the same ego-net, compared with individuals in different ego-nets.
  • Know how to use a multilevel model to compare variation in individual outcome variables across different ego-nets with variations for other groupings of the population, such as schools or local areas.
  • Learn about some approaches for modelling alter-alter ties in cross-sectional ego-net data.


Having considered qualitative approaches to ego-net analysis in the last chapter, we turn to more statistical approaches in this ...

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