• Corpus ID: 232146923

Emergent order in a continuous state adaptive network model of living systems

@article{Kamp2021EmergentOI,
  title={Emergent order in a continuous state adaptive network model of living systems},
  author={Carsten T. van de Kamp and George Dadunashvili and Johan L. A. Dubbeldam and Timon Idema},
  journal={arXiv: Biological Physics},
  year={2021}
}

• Carsten T. van de Kamp, George Dadunashvili, +1 author T. Idema
• Published 7 March 2021
• Biology
• arXiv: Biological Physics

Order can spontaneously emerge from seemingly noisy interactions between biological agents, like a flock of birds changing their direction of flight in unison, without a leader or an external cue. We are interested in the generic conditions that lead to such emergent phenomena. To find these conditions, we use the framework of complex networks to characterize the state of agents and their mutual influence. We formulate a continuous state adaptive network model, from which we obtain the phase boundaries between swarming and disordered phases and characterize the order of the phase transition.