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

    Author(s)
    Daraganova, Galina
    Pattison, Pip
    Koskinen, Johan
    Mitchell, Bill
    Bill, Anthea
    Watts, Martin
    Baum, Scott
    Griffith University Author(s)
    Baum, Scott
    Year published
    2012
    Metadata
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    Abstract
    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 ...
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    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.
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    Journal Title
    Social Networks
    Volume
    34
    Issue
    1
    DOI
    https://doi.org/10.1016/j.socnet.2010.12.001
    Subject
    Anthropology
    Sociology
    Other human society not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/48456
    Collection
    • Journal articles

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