2008
DOI: 10.1007/s11538-008-9365-7
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A Conceptual Model for Milling Formations in Biological Aggregates

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 co… Show more

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Cited by 39 publications
(33 citation statements)
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“…For larger values of the alignment parameter, despite having higher overall values for the milling parameter, the transition does not occur. This indicates that in the model studied here, like in many of those proposed before [25], milling dynamics does not emerge in the arbitrarily large infinite-size limit.…”
Section: Group-size-induced Transitionsupporting
confidence: 57%
“…For larger values of the alignment parameter, despite having higher overall values for the milling parameter, the transition does not occur. This indicates that in the model studied here, like in many of those proposed before [25], milling dynamics does not emerge in the arbitrarily large infinite-size limit.…”
Section: Group-size-induced Transitionsupporting
confidence: 57%
“…In processionary caterpillars and army ants, circular milling is underpinned by individuals laying trails that others follow and reinforce [15,16]. In fish, it occurs because of rules of attraction and alignment [11,[20][21][22]. A recent sophisticated analysis of collective motion in glass prawns demonstrates that a weak form of circular milling can occur in an annular arena because these supposedly non-social Crustacea influence one another's movements even after a substantial delay following an encounter [23].…”
Section: Introductionmentioning
confidence: 99%
“…A number of models of flocking, often referred to as self-propelled particle (SPP) models, have been constructed and analysed in recent years (Aoki, 1982;Huth et al, 1991;Vicsek et al, 1995;Grégorie et al, 2003;Czirók et al, 1997;Couzin et al, 2002;Czirók et al, 1999;D'Orsogna et al, 2006;Wood et al, 2007;Romanczuk et al, 2008;Lukeman et al, 2009). The main difference between the different models is the form of the local interaction rule and how neighbouring particles affect each other.…”
Section: Introductionmentioning
confidence: 99%