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 :
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