Adaptive network models of collective decision making in swarming systems

Chen, Li; Huepe, Cristian; Gross, Thilo

Abstract

We consider a class of adaptive network models where links can only be created or deleted between nodes in different states. These models provide an approximate description of a set of systems where nodes represent agents moving in physical or abstract space, the state of each node represents the agent's heading direction, and links indicate mutual awareness. We show analytically that the adaptive network description captures a phase transition to collective motion in some swarming systems, such as the Vicsek model, and that the properties of this transition are determined by the number of states (discrete heading directions) that can be accessed by each agent.

Más información

Título según WOS: ID WOS:000381606600005 Not found in local WOS DB
Título de la Revista: PHYSICAL REVIEW E
Volumen: 94
Número: 2
Editorial: AMER PHYSICAL SOC
Fecha de publicación: 2016
DOI:

10.1103/PhysRevE.94.022415

Notas: ISI