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A data-driven method for reconstructing and modelling social interactions in moving animal groups

Escobedo, R and Lecheval, V and Papaspyros, V and Bonnet, F and Mondada, F and Sire, C and Theraulaz, G (2020) A data-driven method for reconstructing and modelling social interactions in moving animal groups. In: Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 375 (1807).

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Official URL: https://dx.doi.org/10.1098/rstb.2019.0380

Abstract

Group-living organisms that collectively migrate range from cells and bacteria to human crowds, and include swarms of insects, schools of fish, and flocks of birds or ungulates. Unveiling the behavioural and cognitive mechanisms by which these groups coordinate their movements is a challenging task. These mechanisms take place at the individual scale and can be described as a combination of interactions between individuals and interactions between these individuals and the physical obstacles in the environment. Thanks to the development of novel tracking techniques that provide large and accurate datasets, the main characteristics of individual and collective behavioural patterns can be quantified with an unprecedented level of precision. However, in a large number of studies, social interactions are usually described by force map methods that only have a limited capacity of explanation and prediction, being rarely suitable for a direct implementation in a concise and explicit mathematical model. Here, we present a general method to extract the interactions between individuals that are involved in the coordination of collective movements in groups of organisms. We then apply this method to characterize social interactions in two species of shoaling fish, the rummy-nose tetra (Hemigrammus rhodostomus) and the zebrafish (Danio rerio), which both present a burst-and-coast motion. From the detailed quantitative description of individual-level interactions, it is thus possible to develop a quantitative model of the emergent dynamics observed at the group level, whose predictions can be checked against experimental results. This method can be applied to a wide range of biological and social systems. This article is part of the theme issue 'Multi-scale analysis and modelling of collective migration in biological systems'.

Item Type: Journal Article
Publication: Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Publisher: NLM (Medline)
Additional Information: Copy right for this article belongs to NLM (Medline)
Keywords: adult; animal behavior; animal experiment; animal model; article; biology; controlled study; female; male; motion; nonhuman; nose; prediction; quantitative analysis; seashore; social interaction; zebra fish
Department/Centre: Division of Biological Sciences > Centre for Ecological Sciences
Date Deposited: 11 Jan 2021 10:53
Last Modified: 11 Jan 2021 10:53
URI: http://eprints.iisc.ac.in/id/eprint/66247

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