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Exponential Random Graph Models for Social Networks : Theory, Methods, and Applications

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Title: Exponential Random Graph Models for Social Networks : Theory, Methods, and Applications
Description: Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results.
Authors: Dean Lusher, Johan Koskinen, Garry Robins
Resource Type: eBook.
Subjects: Social networks--Mathematical models, Social networks--Research--Graphic methods
Categories: BUSINESS & ECONOMICS / Negotiating, FAMILY & RELATIONSHIPS / Interpersonal Relations
Database: eBook Collection (EBSCOhost)
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PubType: eBook
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  Data: Exponential Random Graph Models for Social Networks : Theory, Methods, and Applications
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  Data: Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. The chapters in this edited volume provide a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs, including models for univariate, multivariate, bipartite, longitudinal and social-influence type ERGMs. Each method is applied in individual case studies illustrating how social science theories may be examined empirically using ERGMs. The authors supply the reader with sufficient detail to specify ERGMs, fit them to data with any of the available software packages and interpret the results.
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  Data: <searchLink fieldCode="AR" term="%22Dean+Lusher%22">Dean Lusher</searchLink><br /><searchLink fieldCode="AR" term="%22Johan+Koskinen%22">Johan Koskinen</searchLink><br /><searchLink fieldCode="AR" term="%22Garry+Robins%22">Garry Robins</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Social+networks--Mathematical+models%22">Social networks--Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Social+networks--Research--Graphic+methods%22">Social networks--Research--Graphic methods</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 302.3
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Social networks--Mathematical models
        Type: general
      – SubjectFull: Social networks--Research--Graphic methods
        Type: general
    Titles:
      – TitleFull: Exponential Random Graph Models for Social Networks : Theory, Methods, and Applications
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Dean Lusher
      – PersonEntity:
          Name:
            NameFull: Johan Koskinen
      – PersonEntity:
          Name:
            NameFull: Garry Robins
      – PersonEntity:
          Name:
            NameFull: Dean Lusher
      – PersonEntity:
          Name:
            NameFull: Johan Koskinen
      – PersonEntity:
          Name:
            NameFull: Garry Robins
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2013
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780521193566
            – Type: isbn-electronic
              Value: 9781139839587
          Numbering:
            – Type: volume
              Value: 00035
          Titles:
            – TitleFull: Exponential Random Graph Models for Social Networks : Theory, Methods, and Applications
              Type: main
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