Book contents
- Network Analysis
- Structural Analysis in the Social Sciences
- Network Analysis
- Copyright page
- Contents
- Figures
- Tables
- Acknowledgments
- 1 Introduction
- Part I Thinking Structurally
- Part II Seeing Structure
- 6 Structuration and Egocentric Networks
- 7 Sociality and Elementary Forms of Structure
- 8 Cohesion and Groups
- 9 Hierarchy and Centrality
- 10 Positions and Roles
- 11 Affiliations and Dualities
- 12 Networks and Culture
- Part III Making Structural Predictions
- References
- Index
- References
8 - Cohesion and Groups
from Part II - Seeing Structure
Published online by Cambridge University Press: 21 September 2023
Book contents
- Network Analysis
- Structural Analysis in the Social Sciences
- Network Analysis
- Copyright page
- Contents
- Figures
- Tables
- Acknowledgments
- 1 Introduction
- Part I Thinking Structurally
- Part II Seeing Structure
- 6 Structuration and Egocentric Networks
- 7 Sociality and Elementary Forms of Structure
- 8 Cohesion and Groups
- 9 Hierarchy and Centrality
- 10 Positions and Roles
- 11 Affiliations and Dualities
- 12 Networks and Culture
- Part III Making Structural Predictions
- References
- Index
- References
Summary
When does a collection of individuals become a group or a community? What holds groups, communities, and societies together, even as individuals come and go? These questions concern social cohesion, the bonds through which otherwise disconnected individuals become part of something larger and more lasting than themselves. Social cohesion is perhaps the most central issue in the founding of sociology as a discipline, and its relevance persists today. Social network analysis has much to offer in making the study of social cohesion more formal and precise. Whereas in the previous chapter, we examined structures from the standpoint of their constituent elements of dyads and triads, here we step back to try to see more of the bigger structural picture through the overall pattern of ties in a network.
- Type
- Chapter
- Information
- Network AnalysisIntegrating Social Network Theory, Method, and Application with R, pp. 161 - 189Publisher: Cambridge University PressPrint publication year: 2023
References
Suggested Further Reading
Abbe, Emmanuel. 2018. “Community Detection and Stochastic Block Models: Recent Developments.” Journal of Machine Learning and Research 18: 1–86. (A nice review of the stochastic blockmodel approach to community detection.)Google Scholar
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Everton, Sean F. 2018. Networks and Religion: Ties That Bind, Loose, Build-Up, and Tear Down. New York: Cambridge University Press. (Works through a series of models in fruitfully combining the social scientific study of religion with network modeling.)Google Scholar
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Freeman, Linton C. 1992. “The Sociological Concept of ‘Group’: An Empirical Test of Two Models.” American Journal of Sociology 98(1):152–66. (Freeman devoted much energy to the theoretical problem of cohesive groups, and these papers exemplify his approach, which should help guide sociological approaches to identification of communities.)Google Scholar
Granovetter, Mark. 1985. “Economic Action and Social Structure: The Problem of Embeddedness.” American Journal of Sociology 91: 481–510. (Embeddedness is the individual dual to collective cohesion. Here Granovetter powerfully demonstrates how action models must include localized resources and constraints captured by networks to avoid being either atomistic or overdetermined. The paper has become the classic statement of networks and economic action. See also Uzzi 1997.)Google Scholar
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