Reaching consensus and convergence to equilibrium are two major challenges of multi-
agent systems. Although each has attracted significant attention, relatively few studies …

Consider a graph G with n nodes and m edges, which represents a social network, and
assume that initially each node is blue or white. In each round, all nodes simultaneously …

Opinion spreading in a society decides the fate of elections, the success of products, and the
impact of political or social movements. A prominent model to study opinion formation …

We introduce and study a novel majority based opinion diffusion model. Consider a graph G,
which represents a social network. Assume that initially a subset of nodes, called seed …

We study opinion diffusion on social graphs where agents hold binary opinions and where
social pressure leads them to conform to the opinion manifested by the majority of their …

We study opinion dynamics in multi-agent networks when a bias toward one of two possible
opinions exists, for example reflecting a status quo versus a superior alternative. Our aim is …

Consider an undirected graph G, representing a social network, where each node is blue or
red, corresponding to positive or negative opinion on a topic. In the voter model, in discrete …

We propose and analyze a mathematical model for the evolution of opinions on directed
complex networks. Our model generalizes the popular DeGroot and Friedkin-Johnsen …

We focus on the election manipulation problem through social influence, where a
manipulator exploits a social network to make her most preferred candidate win an election …

We consider opinion diffusion on social graphs where agents hold opinions and where
social pressure leads them to conform to the opinion manifested by the majority of their …