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Evolution of social networks.

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Title: Evolution of social networks.
Authors: Hellmann, Tim1 tim.hellmann@uni-bielefeld.de, Staudigl, Mathias1 mathias.staudigl@uni-bielefeld.de
Source: European Journal of Operational Research. May2014, Vol. 234 Issue 3, p583-596. 14p.
Subjects: Social networks, Random graphs, Mathematical models, Markov processes, Game theory, Mathematical analysis
Abstract: Highlights: [•] We review recent models on the evolution of social networks. [•] Random graph models are introduced as Markov jump processes. [•] Game theoretic approaches to network formation are discussed. [•] Co-evolutionary processes of networks and play are introduced to cointegrate game theoretic and random graph models. [Copyright &y& Elsevier]
Copyright of European Journal of Operational Research is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 93688646
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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  Data: Evolution of social networks.
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  Data: <searchLink fieldCode="AR" term="%22Hellmann%2C+Tim%22">Hellmann, Tim</searchLink><relatesTo>1</relatesTo><i> tim.hellmann@uni-bielefeld.de</i><br /><searchLink fieldCode="AR" term="%22Staudigl%2C+Mathias%22">Staudigl, Mathias</searchLink><relatesTo>1</relatesTo><i> mathias.staudigl@uni-bielefeld.de</i>
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Operational+Research%22">European Journal of Operational Research</searchLink>. May2014, Vol. 234 Issue 3, p583-596. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Social+networks%22">Social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Random+graphs%22">Random graphs</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink><br /><searchLink fieldCode="DE" term="%22Game+theory%22">Game theory</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+analysis%22">Mathematical analysis</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Highlights: [•] We review recent models on the evolution of social networks. [•] Random graph models are introduced as Markov jump processes. [•] Game theoretic approaches to network formation are discussed. [•] Co-evolutionary processes of networks and play are introduced to cointegrate game theoretic and random graph models. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of European Journal of Operational Research is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.ejor.2013.08.022
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 583
    Subjects:
      – SubjectFull: Social networks
        Type: general
      – SubjectFull: Random graphs
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Markov processes
        Type: general
      – SubjectFull: Game theory
        Type: general
      – SubjectFull: Mathematical analysis
        Type: general
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      – TitleFull: Evolution of social networks.
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            NameFull: Hellmann, Tim
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            NameFull: Staudigl, Mathias
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            – D: 01
              M: 05
              Text: May2014
              Type: published
              Y: 2014
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              Value: 234
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              Value: 3
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            – TitleFull: European Journal of Operational Research
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