Social order and unity require consensus among individuals about cooperation and other
issues. Boolean network models (BN) help to explain the role played by peer interactions in …

We propose and analyze a nonlinear dynamic model of continuous-time multi-dimensional
belief formation over signed social networks. Our model accounts for the effects of a …

Most people hold a variety of opinions on different topics ranging from sports, entertainment,
spiritual beliefs to moral principles. These can be based on personal reflections or on their …

In this paper, we propose a new model for binary opinion dynamics in a (fully connected)
structurally balanced network. In a structurally balanced network, agents are classified into …

In this paper, we propose an approach for modeling and analysis of a number of
phenomena of collective behavior. By collectives we mean multi-agent systems that …

Individuals who interact with each other in social networks often exchange ideas and
influence each other's opinions. A popular approach to study the spread of opinions on …

Opinion formation cannot be modeled solely as an ideological deduction from a set of
principles; rather, repeated social interactions and logic constraints among statements are …

In the social, behavioral, and economic sciences, it is important to predict which individual
opinions eventually dominate in a large population, whether there will be a consensus, and …

A model of a Boolean game with only one free parameter p that denotes the strength of local
interaction is proposed wherein each agent acts according to the information obtained from …

Breakthroughs have been made in algorithmic approaches to understanding how
individuals in a group influence each other to reach a consensus. However, what happens …