Competitive Novel Dual Rumour Diffusion Model

Abstract

Rumors have been present in society for very long. In modern days with the better penetration of online social media technologies, we have been able to share anything with anybody. Rumors have become an undesirable but built-in feature of social networking technologies. In this work, we represent a model of dual rumor propagation in population. Our model is an extension of the basic SIR model with six states. We present a detailed numerical analysis of our model to show the impact of various parameters on the density of nodes in different states. When two rumors are competing in the population the rumor with high spreading rates wins the race. In our model, we also present a study of the impact of individuals biasness toward one type of rumor. This biasness arises if a rumor is originating from a popular and credible source. For a relatively high stifling rate with respect to spreading rate, we find that a large fraction of population remains ignorant of rumors.