Abstract
An individual’s network ties are crucial to their well-being and life outcomes, and an emerging literature connects these network effects to the persistence or mitigation of group-based inequality. At the same time, we know very little about how the contexts in which relationships are formed shape individual-level and group-level networks. This leaves our understanding of network-based mechanisms of inequality separate from the contexts in which relationships are formed and operate. This chapter sets forth a model that combines context, ego and global network structure, and inequality arising from network effects into one causal chain. We review evidence on how different characteristics of context – population size and composition, number and kinds of social foci, and organizational practices – contribute to the structure of social networks. We then review research demonstrating how those network features, as well as the overall structure of relationships, contribute to distributions of outcomes in the population. The chapter concludes with applications of the model using examples from student behavior in schools and from evidence about migration. We suggest that network scholars and scholars of inequality build this more expansive perspective into their work in order to better understand mechanisms of inequality.
| Original language | English (US) |
|---|---|
| Title of host publication | Personal Networks |
| Subtitle of host publication | Classic Readings and New Directions in Egocentric Analysis |
| Publisher | Cambridge University Press |
| Pages | 630-650 |
| Number of pages | 21 |
| ISBN (Electronic) | 9781108878296 |
| ISBN (Print) | 9781108839976 |
| DOIs | |
| State | Published - Jan 1 2021 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- General Social Sciences
- General Business, Management and Accounting
Keywords
- context
- diffusion
- inequality
- network effects
- network structure
- population
- theory
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