• DocumentCode
    2967226
  • Title

    Quantifying social network dynamics

  • Author

    Michalski, R. ; Brodka, Piotr ; Kazienko, P. ; Juszczyszyn, K.

  • Author_Institution
    Inst. of Inf., Wroclaw Univ. of Technol., Wroclaw, Poland
  • fYear
    2012
  • fDate
    21-23 Nov. 2012
  • Firstpage
    69
  • Lastpage
    74
  • Abstract
    The dynamic character of most social networks requires to model evolution of networks in order to enable complex analysis of theirs dynamics. The following paper focuses on the definition of differences between network snapshots by means of Graph Differential Tuple. These differences enable to calculate the diverse distance measures as well as to investigate the speed of changes. Four separate measures are suggested in the paper with experimental study on real social network data.
  • Keywords
    graph theory; social networking (online); complex analysis; diverse distance measures; dynamic character; graph differential tuple; network snapshots; social network dynamics; Analytical models; Complex networks; Educational institutions; Electronic mail; Social network services; Time measurement; Vectors; SNA; dynamics of the social network; graph differential tuple; graph edit distance; social network changes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Aspects of Social Networks (CASoN), 2012 Fourth International Conference on
  • Conference_Location
    Sao Carlos
  • Print_ISBN
    978-1-4673-4793-8
  • Type

    conf

  • DOI
    10.1109/CASoN.2012.6412380
  • Filename
    6412380