Revealing the hidden networks of interaction in mobile animal groups allows prediction of complex behavioral contagion
Open accessAbstract
Significance: We know little about the nature of the evolved interaction networks that give rise to the rapid coordinated collective response exhibited by many group-living organisms. Here, we study collective evasion in schooling fish using computational techniques to reconstruct the scene from the perspective of the organisms themselves. This method allows us to establish how the complex social scene is translated into behavioral response at the level of individuals and to visualize, and analyze, the resulting complex communication network as behavioral change spreads rapidly through groups. Thus, we can map, for any moment in time, the extent to which each individual is socially influential during collective evasion and predict the magnitude of such behavioral epidemics before they actually occur.
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Evidence from fish schools revealed that noise and decay are important for preventing the spread of false alarms.
“Evidence from fish schools revealed that noise and decay are important for preventing the spread of false alarms”
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Cites
Statistical mechanics of complex networks
Albert, R., & Barabási, A.-L. (2002) · Reviews of Modern Physics · doi:10.1103/revmodphys.74.47 · Cited by 20,471 · see citing works
Self-organized criticality: An explanation of the 1/ f noise
Bak, P., Tang, C., & Wiesenfeld, K. A. (1987) · Physical Review Letters · doi:10.1103/physrevlett.59.381 · Cited by 7,644 · see citing works
Novel Type of Phase Transition in a System of Self-Driven Particles
Vicsek, T., Czirók, A., Ben‐Jacob, E., Cohen, I., & Shochet, O. (1995) · Physical Review Letters · doi:10.1103/physrevlett.75.1226 · Cited by 7,395 · see citing works
Model selection in ecology and evolution
Johnson, J. B., & Omland, K. S. (2004) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2003.10.013 · Cited by 3,838 · see citing works
Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry
Christof Koch, A., & Ullman, S. (1987) · Springer eBooks · doi:10.1007/978-94-009-3833-5_5 · Cited by 3,739 · see citing works
Krause, J., & Ruxton, G. D. (2002) · doi:10.1093/oso/9780198508175.001.0001 · Cited by 3,275 · see citing works
A simple model of global cascades on random networks
Watts, D. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.082090499 · Cited by 2,673 · see citing works
Neuronal Avalanches in Neocortical Circuits
Beggs, J. M., & Plenz, D. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-35-11167.2003 · Cited by 2,325 · see citing works
The origin of bursts and heavy tails in human dynamics
Barabási, A.-L. (2005) · Nature · doi:10.1038/nature03459 · Cited by 2,210 · see citing works
Collective Memory and Spatial Sorting in Animal Groups
Couzin, I. D., Krause, J., JAMES, R., Ruxton, G. D., & Franks, N. R. (2002) · Journal of Theoretical Biology · doi:10.1006/jtbi.2002.3065 · Cited by 2,141 · see citing works
Self-citationComplex Contagions and the Weakness of Long Ties
Centola, D., & Macy, M. (2007) · American Journal of Sociology · doi:10.1086/521848 · Cited by 1,878 · see citing works
Felipe Cucker, B., & Smale, S. (2007) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2007.895842 · Cited by 1,786 · see citing works
Emergent complex neural dynamics
Chialvo, D. R. (2010) · Nature Physics · doi:10.1038/nphys1803 · Cited by 1,165 · see citing works
The neural basis of the Weber–Fechner law: a logarithmic mental number line
Dehaene, S. (2003) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(03)00055-x · Cited by 925 · see citing works
The Kinematics and Performance of Fish Fast-Start Swimming
Domenici, P., & Blake, R. W. (1997) · Journal of Experimental Biology · doi:10.1242/jeb.200.8.1165 · Cited by 923 · see citing works
Self-Organization and Collective Behavior in Vertebrates
Couzin, I. D., & Krause, J. (2003) · Advances in the study of behavior · doi:10.1016/s0065-3454(03)01001-5 · Cited by 921 · see citing works
Self-citationL 1-Regularization Path Algorithm for Generalized Linear Models
Park, M. Y., & Hastie, T. J. (2007) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2007.00607.x · Cited by 859 · see citing works
Clustering in complex directed networks
Fagiolo, G. (2007) · Physical Review E · doi:10.1103/physreve.76.026107 · Cited by 815 · see citing works
Betweenness centrality in large complex networks
Barthélemy, M. (2004) · The European Physical Journal B · doi:10.1140/epjb/e2004-00111-4 · Cited by 804 · see citing works
The effects of local spatial structure on epidemiological invasions
Keeling, M. J. (1999) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.1999.0716 · Cited by 798 · see citing works
Modeling cascading failures in the North American power grid
Kinney, R., Crucitti, P., Albert, R., & Latora, V. (2005) · The European Physical Journal B · doi:10.1140/epjb/e2005-00237-9 · Cited by 700 · see citing works
The dynamics of protest recruitment through an online network
González-Bailón, S., Borge-Holthoefer, J., Rivero, A., & Moreno, Y. (2011) · Scientific Reports · doi:10.1038/srep00197 · Cited by 571 · see citing works
Potential disadvantages of using socially acquired information
Giraldeau, L., Valone, T. J., & Templeton, J. J. (2002) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2002.1065 · Cited by 567 · see citing works
Properties of highly clustered networks
Newman, M. E. J. (2003) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.68.026121 · Cited by 498 · see citing works
The Dynamics of Protest Recruitment through an Online Network
González‐Bailón, S., Borge‐Holthoefer, J., Rivero, A., & Moreno, Y. (2011) · ScholarlyCommons (University of Pennsylvania) · Cited by 466 · see citing works
Visual sensory networks and effective information transfer in animal groups
Strandburg‐Peshkin, A., Twomey, C. R., Bode, N. W. F., Kao, A. B., Katz, Y., Ioannou, C. C., Rosenthal, S. B., Torney, C. J., Wu, H. S., Levin, S. A., et al. (2013) · Current Biology · doi:10.1016/j.cub.2013.07.059 · Cited by 430 · see citing works
Self-citationNeural mechanisms of startle behavior
(1987) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(87)90199-4 · Cited by 415 · see citing works
The Mauthner cell and other identified neurons of the brainstem escape network of fish.
Eaton, R. C., Lee, R. F., & Foreman, M. (2001) · Progress in neurobiology · doi:10.1016/s0301-0082(00)00047-2 · Cited by 387 · see citing works
Searching for superspreaders of information in real-world social media
Pei, S., Muchnik, L., Andrade, J. S., Zheng, Z. M., & Makse, H. A. (2014) · Scientific Reports · doi:10.1038/srep05547 · Cited by 370 · see citing works
Cascade dynamics of complex propagation
Centola, D. M., Eguı́luz, V. M., & Macy, M. W. (2006) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2006.06.018 · Cited by 352 · see citing works
Schooling in the ecology of fish
Radakov, D. V. (1973) · Medical Entomology and Zoology · Cited by 289 · see citing works
Does the brain calculate value?
Vlaev, I., Chater, N., Stewart, N., & Brown, G. D. A. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.09.008 · Cited by 282 · see citing works
The Dynamics of Coordinated Group Hunting and Collective Information Transfer among Schooling Prey
Handegard, N. O., Boswell, K. M., Ioannou, C. C., Leblanc, S. P., Tjøstheim, D., & Couzin, I. D. (2012) · Current Biology · doi:10.1016/j.cub.2012.04.050 · Cited by 282 · see citing works
Self-citationThe dynamics of social innovation
Young, H. P. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1100973108 · Cited by 281 · see citing works
Searching for superspreaders of information in real-world social media
Pei, S., Muchnik, L., Andrade, Jr., Zheng, Z. M., & Makse, H. A. (2014) · CUNY Academic Works (City University of New York) · Cited by 265 · see citing works
Effects of Heterogeneous and Clustered Contact Patterns on Infectious Disease Dynamics
Volz, E., Miller, J. C., Galvani, A. P., & Ancel, L. W. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002042 · Cited by 212 · see citing works
Group transmission of predator avoidance behaviour in a marine insect: The trafalgar effect
Treherne, J. E., & Foster, W. A. (1981) · Animal Behaviour · doi:10.1016/s0003-3472(81)80028-0 · Cited by 209 · see citing works
The Role of the Mauthner Cell in Fast-Starts Involving Escape in Teleost Fishes
Eaton, R. C., & Hackett, J. T. (1984) · Springer eBooks · doi:10.1007/978-1-4899-2286-1_8 · Cited by 190 · see citing works
Collective detection of predatory attack by social foragers: fraught with ambiguity?
Lima, S. L. (1995) · Animal Behaviour · doi:10.1016/0003-3472(95)80109-x · Cited by 179 · see citing works
Reliability and the adaptive utility of discrimination among alarm callers
Blumstein, D. T., Verneyre, L., & Daniel, J. C. (2004) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2004.2808 · Cited by 168 · see citing works
Propagating waves in starling, Sturnus vulgaris, flocks under predation
Procaccini, A., Orlandi, A., Cavagna, A., Giardina, I., Zoratto, F., Santucci, D., Chiarotti, F., Hemelrijk, C. K., Alleva, E., Giorgio Parisi, A., et al. (2011) · Animal Behaviour · doi:10.1016/j.anbehav.2011.07.006 · Cited by 160 · see citing works
Escape behaviour of solitary herring ( Clupea harengus ) and comparisons with schooling individuals
Domenici, P., & Batty, R. S. (1997) · Marine Biology · doi:10.1007/s002270050065 · Cited by 138 · see citing works
Social Waves in Giant Honeybees Repel Hornets
Kastberger, G., Schmelzer, E., & Kranner, I. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003141 · Cited by 132 · see citing works
Vabø, R., & Nøttestad, L. (1997) · Fisheries Oceanography · doi:10.1046/j.1365-2419.1997.00037.x · Cited by 124 · see citing works
Evidence for a rule governing the avoidance of superfluous escape flights
Cresswell, W. R., Hilton, G. M., & Ruxton, G. D. (2000) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2000.1064 · Cited by 117 · see citing works
Spatially balanced topological interaction grants optimal cohesion in flocking models
Camperi, M., Cavagna, A., Giardina, I., Giorgio Parisi, A., & Silvestri, E. (2012) · Interface Focus · doi:10.1098/rsfs.2012.0026 · Cited by 91 · see citing works
Thought Transference (or What ?) in Birds
(1932) · Nature · doi:10.1038/129263c0 · Cited by 57 · see citing works
Schooling Fish Under Attack Are Not All Equal: Some Lead, Others Follow
Marras, S., & Domenici, P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065784 · Cited by 51 · see citing works
Factors affecting escape behaviour in moulting Greylag Geese Anser anser
Kahlert, J. A. (2006) · Journal für Ornithologie · doi:10.1007/s10336-006-0081-5 · Cited by 34 · see citing works
Determinants of false alarms in staging flocks of semipalmated sandpipers
Beauchamp, G. (2010) · Behavioral Ecology · doi:10.1093/beheco/arq032 · Cited by 34 · see citing works
Tonic inhibition alternates in paired neurons that set direction of fish escape reaction
Hatta, K., & Korn, H. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.21.12090 · Cited by 27 · see citing works
Golden Shiner (Notemigonus crysoleucas) Population Abundance Correlations with Food and Predators
Johannes, M. R. S., McQueen, D. J., Stewart, T., et al. (1989) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f89-101 · Cited by 24 · see citing works
Burgess, J. W., & Shaw, E. (1981) · Behavioral and Neural Biology · doi:10.1016/s0163-1047(81)91869-0 · Cited by 23 · see citing works
Dill, L. M., Holling, C. S., & Palmer, L. H. (1997) · Cambridge University Press eBooks · doi:10.1017/cbo9780511601156.014 · Cited by 21 · see citing works
DISTRIBUTIONS OF LAKE FISHES IN THE NORTHEAST — II. THE MINNOWS (CYPRINIDAE)
Whittier, T. R., Halliwell, D. B., & Daniels, R. A. (2000) · Northeastern Naturalist · doi:10.1656/1092-6194(2000)007[0131:dolfit]2.0.co;2 · Cited by 14 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- [29]Dill LM, Holling C, Palmer LH. Animal Groups in Three Dimensions: How Species Aggregate. Cambridge Univ Press; New York: 1997. pp. 207–224. [Google Scholar]
- [32]Hanke W, Lauder G. Fish schooling: 3D kinematics and hydrodynamics. Integr Comp Biol. 2006;46(Suppl 1):E54. [Google Scholar]
- [41]Park MY, Hastie T. L1-regularization path algorithm for generalized linear models. J R Statist Soc B. 2007;69(4):659–677. [Google Scholar]
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- Authors
- Rosenthal, S. B., Twomey, C. R., Hartnett, A. T., Wu, H. S., & Couzin, I. D.
- Affiliations
- Princeton University (US)
- Departments of aPhysics and
- University of Konstanz (DE)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-03-30
- Volume
- 112
- Issue
- 15
- Pages
- 4690-4695
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4403201
- OpenAlex
- W2109143107
- Cited by
- 474
- References
- 55
- Citations by year
- 2026: 39 · 2025: 31 · 2024: 42 · 2023: 35 · 2022: 50 · 2021: 59 · 2020: 50 · 2019: 31 · 2018: 50 · 2017: 51 · 2016: 29 · 2015: 7
- FWCI
- 52.34
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- KOPS (University of Konstanz) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- National Science Foundation (PHY-0848755, IOS-1355061, EAGER IOS-1251585, DGE-0646086)
- DOD | Office of Naval Research (N00014-09-1-1074, N00014-14-1-0635)
- DOD | Army Research Office (W911NG-11-1-0385, W911NF-14-1-0431)
- Human Frontier Science Program (RGP0065/2012)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Fish biology, ecology, and behavior
- Keywords
- behavioral contagion, collective behavior, communication networks, fish schooling, Notemigonus crysoleucas, social influence, visual field, self-organized groups, network structure
- MeSH terms
- Algorithms, Animals, Animal Communication, Cyprinidae, Models, Biological, Social Behavior, Spatial Behavior, Reflex, Startle, Swimming, Videotape Recording
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