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Proc Natl Acad Sci U S A. 2015 Apr 14;112(15):4690-5. doi: 10.1073/pnas.1420068112. Epub 2015 Mar 30.

Revealing the hidden networks of interaction in mobile animal groups allows prediction of complex behavioral contagion.

Author information

1
Departments of Physics and.
2
Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544;
3
Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544; Department of Collective Behaviour, Max Planck Institute for Ornithology, D-78547 Konstanz, Germany; and Chair of Biodiversity and Collective Behavior, Department of Biology, University of Konstanz, D-78547 Konstanz, Germany icouzin@princeton.edu.

Abstract

Coordination among social animals requires rapid and efficient transfer of information among individuals, which may depend crucially on the underlying structure of the communication network. Establishing the decision-making circuits and networks that give rise to individual behavior has been a central goal of neuroscience. However, the analogous problem of determining the structure of the communication network among organisms that gives rise to coordinated collective behavior, such as is exhibited by schooling fish and flocking birds, has remained almost entirely neglected. Here, we study collective evasion maneuvers, manifested through rapid waves, or cascades, of behavioral change (a ubiquitous behavior among taxa) in schooling fish (Notemigonus crysoleucas). We automatically track the positions and body postures, calculate visual fields of all individuals in schools of ∼150 fish, and determine the functional mapping between socially generated sensory input and motor response during collective evasion. We find that individuals use simple, robust measures to assess behavioral changes in neighbors, and that the resulting networks by which behavior propagates throughout groups are complex, being weighted, directed, and heterogeneous. By studying these interaction networks, we reveal the (complex, fractional) nature of social contagion and establish that individuals with relatively few, but strongly connected, neighbors are both most socially influential and most susceptible to social influence. Furthermore, we demonstrate that we can predict complex cascades of behavioral change at their moment of initiation, before they actually occur. Consequently, despite the intrinsic stochasticity of individual behavior, establishing the hidden communication networks in large self-organized groups facilitates a quantitative understanding of behavioral contagion.

KEYWORDS:

alarm; behavioral epidemic; escape waves; social influence; swarm

PMID:
25825752
PMCID:
PMC4403201
DOI:
10.1073/pnas.1420068112
[Indexed for MEDLINE]
Free PMC Article

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