COMPUTATIONAL SOCIAL SCIENCE

Department of Computational Social Science Seminar Abstract

Friday, March 22 - 3:00 p.m.
Center for Social Complexity Suite
Research Hall, 3rd Floor

Heterophilious interactions enhance consensus in self-organized dynamics

Eitan Tadmor
Distinguished University Professor
Department of Mathematics
Institute for Physical Science & Technology
Director, Center for Scientific Computation and Mathematical Modeling (CSCAMM)
University of Maryland

ABSTRACT: We discuss self-organized dynamics of agent-based models with focus on a prototype model driven by non-symmetric self-alignment [1].

Unconditional consensus and flocking emerge when the self-alignment is driven by global interactions with a sufficiently slow decay rate. In more realistic models, however, the interaction of self-alignment is compactly supported, and open questions arise regarding the emergence of clusters/flocks/consensus, which are related to the propagation of connectivity of the underlying graph.

In particular, we discuss heterophilious self-alignment, where the pairwise interaction between agents increases with the diversity of their positions. We assert that this diversity enhances flocking/consensus. The methodology carries over from agent-based to kinetic and hydrodynamic descriptions.

[1] A new model for self-organized dynamics and its flocking behavior, J. Stat. Physics 144(5) (2011) 923-947.