Who's talking first? Consensus or lack thereof in coevolving opinion formation models

Abstract

We investigate different opinion formation models on adaptive network topologies. Depending on the dynamical process, rewiring can either (i) lead to the elimination of interactions between agents in different states, and accelerate the convergence to a consensus state or break the network in non-interacting groups or (ii) counter-intuitively, favor the existence of diverse interacting groups for exponentially long times. The mean-field analysis allows to elucidate the mechanisms at play. Strikingly, allowing the interacting agents to bear more than one opinion at the same time drastically changes the model's behavior and leads to fast consensus.

References in corpus (5)

• Sharp transition towards shared vocabularies in multi-agent systems
• Generic Absorbing Transition in Coevolution Dynamics
• Consensus formation on adaptive networks
• Conservation laws for the voter model in complex networks
• Self-organized network evolution coupled to extremal dynamics

Cited by in corpus (2)

• Statistical physics of social dynamics
• Microdynamics in stationary complex networks