Identifying Power Elites: K-cores in Heterogeneous Affiliation Networks

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Specifying network boundaries is fundamental in the study of social structures of elite networks. However, traditional methods do not offer clear criteria on either size or composition of the elite, and rely on numerous ad hoc decisions. A methodological framework that is inductive, reproducible and suitable for comparative research is proposed. First, a comprehensive dataset of the 5079 affiliation networks of all potentially powerful sectors in Denmark was assembled. Second, these heterogeneous affiliation networks were weighted to account for potential level of social integration. Third, a weighted modification of k-cores is used to identify a power elite of 423 individuals.
    Original languageEnglish
    JournalSocial Networks
    Volume50
    Pages (from-to)55-69
    ISSN0378-8733
    DOIs
    Publication statusPublished - Jul 2017

    Cite this

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    title = "Identifying Power Elites: K-cores in Heterogeneous Affiliation Networks",
    abstract = "Specifying network boundaries is fundamental in the study of social structures of elite networks. However, traditional methods do not offer clear criteria on either size or composition of the elite, and rely on numerous ad hoc decisions. A methodological framework that is inductive, reproducible and suitable for comparative research is proposed. First, a comprehensive dataset of the 5079 affiliation networks of all potentially powerful sectors in Denmark was assembled. Second, these heterogeneous affiliation networks were weighted to account for potential level of social integration. Third, a weighted modification of k-cores is used to identify a power elite of 423 individuals.",
    author = "{Grau Larsen}, Anton and Ellersgaard, {Christoph Houman}",
    year = "2017",
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    language = "English",
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    Identifying Power Elites : K-cores in Heterogeneous Affiliation Networks. / Grau Larsen, Anton; Ellersgaard, Christoph Houman .

    In: Social Networks, Vol. 50, 07.2017, p. 55-69.

    Research output: Contribution to journalJournal articleResearchpeer-review

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