Clustering in a network of non-identical and mutually interacting agents | Zendy

Filip De Smet | Zendy; Dirk Aeyels | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Clustering in a network of non-identical and mutually interacting agents

Author(s) -

Filip De Smet,

Dirk Aeyels

Publication year - 2008

Publication title -

proceedings of the royal society a mathematical physical and engineering sciences

Language(s) - English

Resource type - Journals

eISSN - 1471-2946

pISSN - 1364-5021

DOI - 10.1098/rspa.2008.0259

Subject(s) - cluster analysis , cluster (spacecraft) , statistical physics , swarm behaviour , swarming (honey bee) , kuramoto model , computer science , coupling (piping) , complex system , phenomenon , synchronization (alternating current) , mathematics , physics , artificial intelligence , topology (electrical circuits) , ecology , combinatorics , engineering , mechanical engineering , quantum mechanics , biology , programming language

spa ng mo ve Proc. R. Soc. A (2009) 465, 745–768 doi:10.1098/rspa.2008.0259 Published online 25 November 2008both necessary and sufficient conditions for clustering behaviour of the model and we investigate the cluster structure for varying coupling strength. Generically, each cluster asymptotically reaches a (relative) equilibrium state. We discuss the relationship of the model to swarming, and we explain how the model equations naturally arise in a system of interconnected water basins. We also indicate how the model applies to opinion formation dynamics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research