Identifying influential neighbors in animal flocking

PLoS Comput Biol. 2017 Nov 21;13(11):e1005822. doi: 10.1371/journal.pcbi.1005822. eCollection 2017 Nov.

Abstract

Schools of fish and flocks of birds can move together in synchrony and decide on new directions of movement in a seamless way. This is possible because group members constantly share directional information with their neighbors. Although detecting the directionality of other group members is known to be important to maintain cohesion, it is not clear how many neighbors each individual can simultaneously track and pay attention to, and what the spatial distribution of these influential neighbors is. Here, we address these questions on shoals of Hemigrammus rhodostomus, a species of fish exhibiting strong schooling behavior. We adopt a data-driven analysis technique based on the study of short-term directional correlations to identify which neighbors have the strongest influence over the participation of an individual in a collective U-turn event. We find that fish mainly react to one or two neighbors at a time. Moreover, we find no correlation between the distance rank of a neighbor and its likelihood to be influential. We interpret our results in terms of fish allocating sequential and selective attention to their neighbors.

MeSH terms

  • Algorithms
  • Animals
  • Behavior, Animal*
  • Birds / physiology*
  • Computational Biology
  • Computer Simulation
  • Fishes / physiology*
  • Models, Biological
  • Movement
  • Software
  • Swimming
  • Temperature

Grants and funding

LJ was funded by a grant from the China Scholarship Council (CSC NO. 201506040167). LG acknowledges support from EPSRC grant EP/I013717/1. RE has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 655235 "SmartMass". VL was supported by doctoral fellowships from the scientific council of the University Paul Sabatier. ZH was supported by the National Natural Science Foundation grants 61374165, 31261160495. This study was supported by grants from the Centre National de la Recherche Scientifique and University Paul Sabatier (project Dynabanc). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.