Literature DB >> 18855072

A conceptual model for milling formations in biological aggregates.

Ryan Lukeman1, Yue-Xian Li, Leah Edelstein-Keshet.   

Abstract

Collective behavior of swarms and flocks has been studied from several perspectives, including continuous (Eulerian) and individual-based (Lagrangian) models. Here, we use the latter approach to examine a minimal model for the formation and maintenance of group structure, with specific emphasis on a simple milling pattern in which particles follow one another around a closed circular path.We explore how rules and interactions at the level of the individuals lead to this pattern at the level of the group. In contrast to many studies based on simulation results, our model is sufficiently simple that we can obtain analytical predictions. We consider a Newtonian framework with distance-dependent pairwise interaction-force. Unlike some other studies, our mill formations do not depend on domain boundaries, nor on centrally attracting force-fields or rotor chemotaxis.By focusing on a simple geometry and simple distant-dependent interactions, we characterize mill formations and derive existence conditions in terms of model parameters. An eigenvalue equation specifies stability regions based on properties of the interaction function. We explore this equation numerically, and validate the stability conclusions via simulation, showing distinct behavior inside, outside, and on the boundary of stability regions. Moving mill formations are then investigated, showing the effect of individual autonomous self-propulsion on group-level motion. The simplified framework allows us to clearly relate individual properties (via model parameters) to group-level structure. These relationships provide insight into the more complicated milling formations observed in nature, and suggest design properties of artificial schools where such rotational motion is desired.

Mesh:

Year:  2008        PMID: 18855072     DOI: 10.1007/s11538-008-9365-7

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  4 in total

1.  Effects of anisotropic interactions on the structure of animal groups.

Authors:  Emiliano Cristiani; Paolo Frasca; Benedetto Piccoli
Journal:  J Math Biol       Date:  2010-05-19       Impact factor: 2.259

2.  Social behaviour and collective motion in plant-animal worms.

Authors:  Nigel R Franks; Alan Worley; Katherine A J Grant; Alice R Gorman; Victoria Vizard; Harriet Plackett; Carolina Doran; Margaret L Gamble; Martin C Stumpe; Ana B Sendova-Franks
Journal:  Proc Biol Sci       Date:  2016-02-24       Impact factor: 5.349

3.  Quantifying the interplay between environmental and social effects on aggregated-fish dynamics.

Authors:  Manuela Capello; Marc Soria; Pascal Cotel; Jean-Louis Deneubourg; Laurent Dagorn
Journal:  PLoS One       Date:  2011-12-12       Impact factor: 3.240

4.  Plant-animal worms round themselves up in circular mills on the beach.

Authors:  Ana B Sendova-Franks; Nigel R Franks; Alan Worley
Journal:  R Soc Open Sci       Date:  2018-07-25       Impact factor: 2.963

  4 in total

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