Modeling and Visualizing Individual and Global Trends of a Multi-agent System

This paper proposes a new model for real-time visualization of the social dynamics as a resultant of individual changes due to their mutual interactions. The model allows the dynamical visualization of both, the individual characteristics changes as well as the resultant system trends as a whole. As an application, we investigated the role of individual degrees of influence and the number of agents in the global choice of a population between two antagonistic options.