The impact of group propagation on rumor spreading in mobile social networks
Authored by Ebrahim Sahafizadeh, Behrouz Tork Ladani
Date Published: 2018
No sponsors listed
Model Code URLs:
Model code not found
A group in a mobile social network is normally considered as a
particular contact in which invited individuals can share messages.
People in a mobile social network sometimes share rumor messages with
the contacts in the group that are not necessarily familiar with them.
They normally get the rumor messages posted by different users and
forward them to the other individuals or groups. There are some models
for analysis of rumor propagation in mobile social networks. However,
none of them have considered the concept of rumor propagation into
groups of nodes. In this paper we study the rumor spreading in mobile
social networks when the concept of group propagation is also
considered. For this purpose, we extend the SIR information propagation
model and investigate the impact of group propagation on the dynamics of
rumor spreading process. We conduct steady-state analysis to investigate
the basic reproduction number of the rumor spreading in the model.
Furthermore, agent-based modeling and simulation is used to analyze the
final size of the rumor under various group propagation rates as well as
the impacts of group parameters on group spreading dynamics. The
simulation results obtained by Monte Carlo method show that group
propagation effectively increases the rumor spreading speed. We show
that having large groups is more effective on rumor spreading than
having more groups. Furthermore we analyze the influence of network
structure on rumor spreading when group propagation is considered. For
this purpose, two Erdlis-Renyi and Barabasi-Albert models of social
networks are considered and it is shown that rumor spreading behavior in
these networks have no significant differences when we have rumor
propagation in groups. (C) 2018 Elsevier B.V. All rights reserved.