Abstract:
Ever since the introduction of the first epidemic
model, scientists have tried extrapolating the damage caused by a
contagious disease, given its spreading pattern in the premature
stage. However, understanding epidemiology remains an elusive
mystery to researchers specifically because of the unavailability of
large amount of data. We utilise the study of diffusion of memes
in a social networking website to solve this problem. In this
paper, we analyse the impact of specific meso-scale properties of
a network on a meme traversing over it. We have employed SCCP
(Scale free, Communities, Core Periphery structure) networks for
analysis purpose. We propose a new meme propagation model
for real world social networks and observe the cause of virality
of a meme. We have tested and validated our model with the
real world information spreading pattern.
