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Metric–topological interaction model of collective behavior

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  • Niizato, Takayuki
  • Gunji, Yukio-Pegio

Abstract

Many simulations of collective behavior have been presented in recent years. Recently, a pioneering study by Ballerini et al. (2008a,b) suggested that the interactions of birds in a flock should be modeled using the topological distance rather than the metric distance. The concept of topological distance is deemed important for explaining collective behavior. However, few studies have discussed the distinctions between the metric and topological distances. In this paper, we clarify the difference between models based on the topological and metric distances and propose a new hybrid model of these models. The agent of our model switches between these two interactions by tuning the threshold parameters. We show that this hybrid flocking model has the medium property between the metric and the topological distance. In other words, the agents of our hybrid model can dramatically make and divide flock by tuning their neighborhoods. This result suggests that making and dividing flock would be deeply connected with animal's cognition.

Suggested Citation

  • Niizato, Takayuki & Gunji, Yukio-Pegio, 2011. "Metric–topological interaction model of collective behavior," Ecological Modelling, Elsevier, vol. 222(17), pages 3041-3049.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:17:p:3041-3049
    DOI: 10.1016/j.ecolmodel.2011.06.008
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    1. H. Hildenbrandt & C. Carere & C.K. Hemelrijk, 2010. "Self-organized aerial displays of thousands of starlings: a model," Behavioral Ecology, International Society for Behavioral Ecology, vol. 21(6), pages 1349-1359.
    2. Dirk Helbing & Joachim Keltsch & Péter Molnár, 1997. "Modelling the evolution of human trail systems," Nature, Nature, vol. 388(6637), pages 47-50, July.
    3. Charlotte K. Hemelrijk & Hanspeter Kunz, 2005. "Density distribution and size sorting in fish schools: an individual-based model," Behavioral Ecology, International Society for Behavioral Ecology, vol. 16(1), pages 178-187, January.
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    1. Li, Zhaofeng & Jiang, Yichuan, 2014. "Friction based social force model for social foraging of sheep flock," Ecological Modelling, Elsevier, vol. 273(C), pages 55-62.
    2. Zhang, Xiangyin & Fan, Suyao & Wu, Weihuan, 2023. "Enhancing synchronization of self-propelled particles via modified rule of fixed number of neighbors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).

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