Competing Information Spreading Processes over Facebook and Twitter: Preference and Broadcasting

The dynamic propagation of various information may gradually disseminate, drastically increase, strongly compete with each other, or slowly decrease over social networks, like Facebook and Twitter. In this paper, we present the analysis of the interrelation between two dynamic processes accounting for the information spreading, respectively preference and broadcasting. This scenario is representative of a preference process spreading on Facebook, and a broadcasting process diffusing on Twitter. The same individuals between Facebook and Twitter construct a multiplex network, where two diffusive processes are interacting affecting each other. The analysis using a Markov chain approach reveals the phase diagram of the incidence of the two dynamic processes, and allows us to capture the onset of the spreading threshold depending on the topological structure of the multiplex network and the interrelation between the two processes. Interestingly, considering various information diffusion, we could determine information dominance by controlling the information incidence and the topology of the multiplex network.