Determining interaction rules in animal swarms

Collective Motion due to Individual Escape and Pursuit Response

(2009) Pawel Romanczuk et al.   PHYSICAL REVIEW LETTERS

Inherent noise can facilitate coherence in collective swarm motion

(2009) C. A. Yates et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Empirical investigation of starling flocks: a benchmark study in collective animal behaviour

(2008) Michele Ballerini et al.   ANIMAL BEHAVIOUR

The multiscale coarse-graining method. II. Numerical implementation for coarse-grained molecular models

(2008) W. G. Noid et al.   JOURNAL OF CHEMICAL PHYSICS

The multiscale coarse-graining method. I. A rigorous bridge between atomistic and coarse-grained models

(2008) W. G. Noid et al.   JOURNAL OF CHEMICAL PHYSICS

New statistical tools for analyzing the structure of animal groups

(2008) Andrea Cavagna et al.   MATHEMATICAL BIOSCIENCES

New tools for characterizing swarming systems: A comparison of minimal models

(2008) Cristián Huepe et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study

(2008) M. Ballerini et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Information transfer in moving animal groups

(2008) David Sumpter et al.   THEORY IN BIOSCIENCES