Michele Ballerini1,2, N. Cabibbo3,4, Raphaël Candelier3, Andrea Cavagna1,5, E. Cisbani2, Irene Giardina1,5, Vivien Lecomte6, Alberto Orlandi1, Giorgio Parisi1,3,4, Andrea Procaccini1,3, Massimiliano Viale3, Vladimir Zdravkovic1
1*Centre for Statistical Mechanics and Complexity (SMC), Consiglio Nazionale delle Ricerche-Istituto Nazionale per la Fisica della Materia,
2Istituto Superiore di Sanita, Viale Regina Elena 299, 00161 Roma, Italy
3Dipartimento di Fisica, and
4Sezione Instituto Nazionale di Fisica Nucleare, Universita' di Roma “La Sapienza,” Piazzale Aldo Moro 2, 00185 Roma, Italy;
5Istituto dei Sistemi Complessi (ISC), Consiglio Nazionale delle Ricerche, via dei Taurini 19, 00185 Roma, Italy; and
6Laboratoire Matière et Systèmes Complexes, (Centre National de la Recherche Scientifique Unite Mixte de Recherche 7057), Université Paris VII, 10 rue Alice Domon et Léonie Duquet, 75205 Paris Cedex 13, France
Tóm tắt
Numerical models indicate that collective animal behavior may emerge from simple local rules of interaction among the individuals. However, very little is known about the nature of such interaction, so that models and theories mostly rely on aprioristic assumptions. By reconstructing the three-dimensional positions of individual birds in airborne flocks of a few thousand members, we show that the interaction does not depend on the metric distance, as most current models and theories assume, but rather on the topological distance. In fact, we discovered that each bird interacts on average with a fixed number of neighbors (six to seven), rather than with all neighbors within a fixed metric distance. We argue that a topological interaction is indispensable to maintain a flock's cohesion against the large density changes caused by external perturbations, typically predation. We support this hypothesis by numerical simulations, showing that a topological interaction grants significantly higher cohesion of the aggregation compared with a standard metric one.