Effect of Social Influence on a Two-Party Election: A Markovian Multiagent Model

In digital social networks, the filtering algorithms employed by platform management to sieve contents shared among users can alter influence intensity. this article, a Markov multiagent model of opinion dynamics is used analyze possible manipulation under apparently neutral interventions on We consider two-party election, whose voters, modeled as heterogeneous agents, are connected in network with an arbitrary topology. The equations describing variance vote share, both transient and steady state, derived. key solution second-order marginalization problem form numerically tractable characterization pairwise joint probabilities voters’ opinions. particular, these computed means Lyapunov-like matrix differential equation driven first-order moments. This result answer some important questions, like nonmonotonic effect intensity volatility interplay topology individuals’ stubbornness determine electoral balance between two parties.