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Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study
TLDR
It is argued that a topological interaction is indispensable to maintain a flock's cohesion against the large density changes caused by external perturbations, typically predation, and supported by numerical simulations.
Scale-free correlations in starling flocks
TLDR
It is suggested that flocks behave as critical systems, poised to respond maximally to environmental perturbations, through scale-free behavioral correlations, which provide each animal with an effective perception range much larger than the direct interindividual interaction range, thus enhancing global response to perturbation.
Statistical mechanics for natural flocks of birds
TLDR
It is shown how a quantitative microscopic theory for directional ordering in a flock can be derived directly from field data, and the minimally structured (maximum entropy) model is constructed consistent with experimental correlations in large flocks of starlings.
Spin-glass theory for pedestrians
In these notes the main theoretical concepts and techniques in the field of mean-field spin glasses are reviewed in a compact and pedagogical way, for the benefit of the graduate and undergraduate
Irrelevance of memory in the minority game
By means of extensive numerical simulations, we show that all the distinctive features of the minority game introduced by Challet and Zhang [Physica A 256, 514 (1998)] are completely independent of
Collective Behaviour without Collective Order in Wild Swarms of Midges
TLDR
It is found that correlation increases sharply with the swarm's density, indicating that the interaction between midges is based on a metric perception mechanism, suggesting that correlation, rather than order, is the true hallmark of collective behaviour in biological systems.
Information transfer and behavioural inertia in starling flocks
TLDR
It is found that information about direction changes propagates across the flock with a linear dispersion law and negligible attenuation, hence minimizing group decoherence and suggesting that swift decision-making may be the adaptive drive for the strong behavioural polarization observed in many living groups.
Finite-size scaling as a way to probe near-criticality in natural swarms.
TLDR
By gathering three-dimensional data on swarms of midges in the field, it is found that swarms tune their control parameter and size so as to maintain a scaling behavior of the correlation function, and correlation length and susceptibility scale with the system's size and swarms exhibit a near-maximal degree of correlation at all sizes.
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