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Cited by 244

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Schools of fish and flocks of birds: their shape and internal structure by self-organization

Open access
Hemelrijk, Charlotte K., Hildenbrandt, Hanno·2012·Interface Focus

Abstract

Models of self-organization have proved useful in revealing what processes may underlie characteristics of swarms. In this study, we review model-based explanations for aspects of the shape and internal structure of groups of fish and of birds travelling undisturbed (without predator threat). Our models attribute specific collective traits to locomotory properties. Fish slow down to avoid collisions and swim at a constant depth, whereas birds fly at low variability of speed and lose altitude during turning. In both the models of fish and birds, the ‘bearing angle’ to the nearest neighbour emerges as a side-effect of the ‘blind angle’ behind individuals and when group size becomes larger, temporary subgroups may increase the complexity of group shape and internal structure. We discuss evidence for model-based predictions and provide a list of new predictions to be tested empirically.

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Crossref · 10.1098/rsfs.2012.0025

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Metadata

Authors
Hemelrijk, C. K., & Hildenbrandt, H.
Venue
Interface Focus
Published
2012-08-22
Volume
2
Issue
6
Pages
726-737
ISSN
  • 2042-8898 (ISSN-L)
  • 2042-8901
OpenAlex
W2113453261
Cited by
244
References
5
FWCI
17.30
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Schools of fish and flocks of birds: their shape and internal structure by self-organization. https://app.cochat.ai/papers/10.1098/rsfs.2012.0025
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Hemelrijk, C. K., & Hildenbrandt, H. (2012). Schools of fish and flocks of birds: their shape and internal structure by self-organization. Interface Focus. https://doi.org/10.1098/rsfs.2012.0025

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.