• DocumentCode
    3155489
  • Title

    A New Model for Probabilistic Polling on Social Network

  • Author

    Masine, Z.S. ; Damirchilo, B. ; Shayestehnia, V.

  • Author_Institution
    Comput. Sci., Inst. for Adv. Studies in Basic Sci. (IASBS), Zanjan, Iran
  • fYear
    2012
  • fDate
    26-29 Aug. 2012
  • Firstpage
    1095
  • Lastpage
    1098
  • Abstract
    One of the most important reasons of polling process study is originated from abundant applications of distribution systems. Agreement issue lets a group of calculation parameters to converge by starting initial values. We can assume in a very simple example, a state in which calculation elements start from values 0 and 1. The main goal is to obtain a state that all calculation elements agree in an identical value through the network that the identical value is either zero or one eventually. In this paper, first we explain Pleg and Nakata`s models briefly then we discuss about our suggested solution that guaranties getting an agreement by probable principles and finally we compare convergence time of Pelg and Nakata`s model with our model.
  • Keywords
    convergence; network theory (graphs); probability; Pelg and Nakata`s model; calculation elements; convergence time; distribution systems; identical value; polling process study; probabilistic polling; probable principles; social network; Color; Convergence; Equations; Mathematical model; Probabilistic logic; Social network services; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-2497-7
  • Type

    conf

  • DOI
    10.1109/ASONAM.2012.252
  • Filename
    6425612