uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Collective motion from local attraction
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Analysis and Applied Mathematics.
2011 (English)In: Journal of Theoretical Biology, ISSN 0022-5193, E-ISSN 1095-8541, Vol. 283, no 1, 145-151 p.Article in journal (Refereed) Published
Abstract [en]

Many animal groups, for example schools of fish or flocks of birds, exhibit complex dynamic patterns while moving cohesively in the same direction. These flocking patterns have been studied using self-propelled particle models, most of which assume that collective motion arises from individuals aligning with their neighbours. Here, we propose a self-propelled particle model in which the only social force between individuals is attraction. We show that this model generates three different phases: swarms, undirected mills and moving aligned groups. By studying our model in the zero noise limit, we show how these phases depend on the relative strength of attraction and individual inertia. Moreover, by restricting the field of vision of the individuals and increasing the degree of noise in the system, we find that the groups generate both directed mills and three dynamically moving, 'rotating chain' structures. A rich diversity of patterns is generated by social attraction alone, which may provide insight into the dynamics of natural flocks.

Place, publisher, year, edition, pages
2011. Vol. 283, no 1, 145-151 p.
Keyword [en]
Self-propelled particle model, Collective motion, Flocking, Schooling, Local attraction
National Category
Natural Sciences
URN: urn:nbn:se:uu:diva-167670DOI: 10.1016/j.jtbi.2011.05.019ISI: 000298526600016OAI: oai:DiVA.org:uu-167670DiVA: diva2:487992
Available from: 2012-02-01 Created: 2012-01-31 Last updated: 2012-02-16Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Strömbom, Daniel
By organisation
Analysis and Applied Mathematics
In the same journal
Journal of Theoretical Biology
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 162 hits
ReferencesLink to record
Permanent link

Direct link