Issue No. 06 - November/December (2005 vol. 7)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2005.114
Maxi San Miguel , IMEDEA
Victor M. Egu?luz , IMEDEA
Raul Toral , IMEDEA
Konstantin Klemm , Leipzig University
The emergence of consensus is a current paradigm in many computer simulation studies of social sciences problems. The specific issue is how to determine when the dynamics of a set of interacting agents that can choose among several options (political vote, opinion, cultural features, and so on) lead to a consensus in one of those options, or when a state with several coexisting social options prevails. Many researchers seek to identify the mechanisms that produce the latter, called a polarized state, in the face of general convergent dynamics. The problem of spatially distributed agents, for example, shares many characteristics with the problem of domain growth in phase-transition kinetics: consensus emerges when a single spatial domain grows to occupy the entire system, whereas polarization corresponds to a situation in which the system isn?t ordered and different spatial domains compete. In this article, we consider stochastic dynamic models studied via computer simulation.
stochastic modeling, voter models, dynamic models
V. M. Egu?luz, K. Klemm, M. S. Miguel and R. Toral, "Binary and Multivariate Stochastic Models of Consensus Formation," in Computing in Science & Engineering, vol. 7, no. , pp. 67-73, 2005.