Opinions, and subsequently opinion dynamics, depend not just on interactions among individuals, but also on external influences such as the mass media. The dependence on local interactions, however, has received considerably more attention. In this paper, we use the classical voter model as a basis, and extend it to include external influences. We show that this new model can be understood using the theory of jump diffusion processes. We derive results pertaining to fixation probability and expected consensus time of the process, and find that the contribution of an external influence significantly dwarfs the contribution of the node-to-node interactions in terms of driving the social network to eventual consensus. This result suggests the potential importance of "macro-level" phenomena such as the media influence as compared to the "micro-level" local interactions, in modelling opinion dynamics.
Closest to our setting, REF focuses on the voter model and generalizes it to include external influences.
The Voter Model and Jump Diffusion
ArXiv
ArXiv
Mathematics Computer Science