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Evolution of scale-freeness in a co-authorship network

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86089184" target="_blank" >RIV/61989100:27240/13:86089184 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/13:86089184

  • Result on the web

    <a href="http://dx.doi.org/10.1109/INCoS.2013.127" target="_blank" >http://dx.doi.org/10.1109/INCoS.2013.127</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/INCoS.2013.127" target="_blank" >10.1109/INCoS.2013.127</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Evolution of scale-freeness in a co-authorship network

  • Original language description

    Many natural networks including social networks are scale-free, i.e. the distribution of node degrees in the network is heavy-tailed and follows the power law. In this work we analyze the scale-free properties of selected subnets of a complex co-authorship network induced by significant nodes (authors) and the evolution of these properties in time. The subnets induced by significant authors are sampled at different times and the power law parameters are estimated analytically. The study provides an empirical overview of the scale-freeness and evolution of power law parameters in a dynamic co-authorship network.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings - 5th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2013

  • ISBN

    978-0-7695-4988-0

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    668-672

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Xi'an

  • Event date

    Sep 9, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article