Networks and geography: modelling community network structures as the outcome of both spatial and network processes

Title: Networks and geography: modelling community network structures as the outcome of both spatial and network processes
Creator: Daraganova, Galina; Pattison, Pip; Koskinen, Johan; Mitchell, Bill; Bill, Anthea; Watts, Martin; Baum, Scott
Relation: Social Networks Vol. 34, Issue 1, p. 6-17
Publisher Link: http://dx.doi.org/10.1016/j.socnet.2010.12.001
Publisher: Elsevier
Resource Type: journal article
Date: 2012
Description: This paper focuses on how to extend the exponential random graph models to take into account the geographical embeddedness of individuals in modelling social networks. We develop a hierarchical set of nested models for spatially embedded social networks, in which, following Butts (2002), an interaction function between tie probability and Euclidean distance between nodes is introduced. The models are illustrated by an empirical example from a study of the role of social networks in understanding spatial clustering in unemployment in Australia. The analysis suggests that a spatial effect cannot solely explain the emergence of organised network structure and it is necessary to include both spatial and endogenous network effects in the model.
Subject: exponential random graph models; endogenous network processes; clustering; distance; spatial processes
Identifier: http://hdl.handle.net/1959.13/1051338
Identifier: uon:15276
Identifier: ISSN:0378-8733
Language: eng
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