title: Limited interactions in flocks: relating model simulations to empirical data.
abstract: The mechanism of self-organization resulting in coordinated collective motion has received wide attention from a range of scientists interested in both its technical and biological relevance. Models have been highly influential in highlighting how collective motion can be produced from purely local interactions between individuals. Typical models in this field are termed 'metric' because each individual only reacts to conspecifics within a fixed distance. A recent large-scale study has, however, provided evidence that interactions ruling collective behaviour occur between a fixed number of nearest neighbours ('topological' framework). Despite their importance in clarifying the nature of the mechanism underlying animal interactions, these findings have yet to be produced by either metric or topological models. Here, we present an original individual-based model of collective animal motion that reproduces the previous findings. Our approach bridges the current gap between previous model analysis and recent evidence, and presents a framework for further study.
authors.affiliation: York Centre for Complex Systems Analysis, University of York, PO Box 373, York YO10 5YW, UK.
authors.forename: Nikolai W F
authors.initials: NW
authors.lastname: Bode
authors.forename: Daniel W
authors.initials: DW
authors.lastname: Franks
authors.forename: A Jamie
authors.initials: AJ
authors.lastname: Wood
mesh_terms: D000818:Animals; D003198:Computer Simulation; D008954:Models, Biological; D009043:Motor Activity / Q000502:physiology*; D012919:Social Behavior; D013037:Spatial Behavior
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