Adaptive network models of collective decision making in swarming systems

Li Chen, Cristian Huepa, Thilo Gross

Research output: Contribution to journalArticle (Academic Journal)peer-review

10 Citations (Scopus)
388 Downloads (Pure)


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 the phase transition to collective motion in swarming systems and that the properties of this transition are determined by the number of states (discrete heading directions) that can be accessed by each agent.
Original languageEnglish
Article number022415
Number of pages9
JournalPhysical Review E
Issue number2
Early online date18 Aug 2016
Publication statusPublished - Aug 2016

Structured keywords

  • Engineering Mathematics Research Group


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