SMIR model for controlling the spread of information in social networking sites

Ajay Kumar, Pradip Swarnakar, Kamya Jaiswal and Ritika Kurele

Physica A: Statistical Mechanics and its Applications, 2020, vol. 540, issue C

Abstract: In a social network, countering false news or rumor is one of the biggest challenges. In this study, the rumor diffusion in the homogeneous and heterogeneous social networks has been explored, introducing the concept of an anti-rumor spreading agent as the mitigator. The study consists of four types of individuals within the population, namely, spreaders, mitigators, ignorants, and stiflers. To model the interactions among the aforesaid populations, five mathematical models have been proposed for the rumor diffusion process in both homogeneous and heterogeneous environments. The proposed SMIR model has been solved using Runge-Kutta fourth-order method and then the model has been extended into a fuzzy environment to deal with the inherent uncertainties. The spreading of a rumor is a socio-psychological phenomenon which may contain delay in the process. To investigate this, the SMIR model has been transformed into a delayed SMIR model. In the heterogeneous environment, the SMIR model has been extended in a small world and scale-free networks. The results obtained are analyzed in all the cases and found that mitigator plays a critical role to control the spread of rumor in homogeneous and heterogeneous environments.

Keywords: Rumor; Epidemic; Scale-free network; Small world network; Uncertainty (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:540:y:2020:i:c:s0378437119316218

DOI: 10.1016/j.physa.2019.122978

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