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3 - Formation of Social Network Structure

Published online by Cambridge University Press:  05 April 2013

Dean Lusher
Affiliation:
Swinburne University of Technology, Victoria
Johan Koskinen
Affiliation:
University of Manchester
Garry Robins
Affiliation:
University of Melbourne
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Summary

Tie Formation: Emergence of Structure

It is not always recognized that an exponential random graph model (ERGM) carries theory in the form of assumptions about networks, network processes, and social structures. We can think of “ERGM theory” as network metatheory because it is not specific to a particular network process. It is a theoretical perspective within which more specific network theories may be investigated. The essence of ERGM theory is the formation of social structure through the accumulation of small local substructures and, ultimately, through the formation of individual ties into the patterns of those substructures.

Formation of Social Ties

ERGMs are first and foremost concerned with explaining the patterns of ties in a social network. This tie-based approach of ERGMs permits answers to some questions but not others. A standard ERGM is not a model focused on predicting outcomes for individuals in the network (so called diffusion or social influence models); instead, it is about revealing patterns that may enable inferences on tie formation processes, including social selection processes where network ties are predicted from the attributes of the network actors.

Type
Chapter
Information
Exponential Random Graph Models for Social Networks
Theory, Methods, and Applications
, pp. 16 - 28
Publisher: Cambridge University Press
Print publication year: 2012

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