• DocumentCode
    2743666
  • Title

    Utilizing Dynamic Molecular Modelling Technique for Predicting Changes in Complex Social Networks

  • Author

    Juszczyszyn, Krzysztof ; Musial, Anna ; Musial, Katarzyna ; Bródka, Piotr

  • Author_Institution
    Inst. of Inf., Wroclaw Univ. of Technol., Wroclaw, Poland
  • Volume
    3
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We present a method that utilises dynamic molecular modelling technique to track the changes within complex social network. The users forming a social network are interpreted as large sets of interacting particles. The data for the conducted research was obtained from e-mail communication within Enron company. The social network of employees was extracted and used to evaluate the methodology of social network dynamics modelling.
  • Keywords
    molecular dynamics method; social networking (online); Enron company; complex social networks; dynamic molecular modelling; e-mail communication; interacting particles; social network dynamics modelling; Complex networks; Computational modeling; Electronic mail; Force; Mathematical model; Predictive models; Social network services; molecular simulation; social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.228
  • Filename
    5614791
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2743666