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
Link To Document