Title :
A variant epidemic propogation model suitable for rumor spreading in Online social network
Author :
Wang, Hui ; Deng, Lin ; Huang, Yi-Shuan ; Zhao, Shu
Author_Institution :
Sch. of Comput. & Inf., Hefei Univ. of Technol., Hefei, China
Abstract :
In this paper, we propose a variant epidemic model for rumor spreading in Online social networks. In the acceptant probability model, weighted social reinforcements are considered. Analytically, a mean field theory is worked out by considering the influence of network topological structure as SW networks. At the same time, the simulation result indicates that rumor spreading result is related to the density of Rationals at initial time.
Keywords :
social networking (online); statistical analysis; telecommunication network topology; SW networks; acceptant probability model; mean field theory; network topological structure; online social network; rumor spreading; variant epidemic propogation model; weighted social reinforcements; Abstracts; Equations; Mathematical model; Complex networks; Epidemic; Rumor spreading; Social reinforcement;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1484-8
DOI :
10.1109/ICMLC.2012.6359545
