Regensburg 2019 – wissenschaftliches Programm

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 6: Networks: From Topology to Dynamics (joint session DY/SOE)

SOE 6.6: Vortrag

Montag, 1. April 2019, 16:30–16:45, H20

Topology vs. Node Dynamics in Collective Adaptation to Risk — Matthew Grobis¹, Colin Twomey², Joseph Bak-Coleman¹, •Winnie Poel^3,4, Bryan Daniels⁵, Pawel Romanczuk^3,4, and Iain Couzin^6,7 — ¹Princeton University, USA — ²University of Pennsylvania, USA — ³Humboldt Universität zu Berlin — ⁴Bernstein Center for Computational Neuroscience Berlin, Germany — ⁵Arizona State University, USA — ⁶Max Planck Institute for Ornithology, Germany — ⁷University of Konstanz, Germany

Our research focuses on the mechanism used by large animal groups to reliably collectively process information on external threats like predation. Specifically, we are interested in the role of an individual's internal state vs. the structure of the group in collective reaction to perceived risk. Using a generic contagion model [1], we study behavioral response cascades in fish schools based on empirically inferred visual interaction networks [2]. We aim to uncover if and how the spatial configuration of the group (i.e. structure of its visual interaction network) and the individual response parameters affect the collective responsiveness.

[1] Dodds PS, Watts DJ (2005) Journal of Theoretical Biology 232(4):587-604

[2] Rosenthal et Al. (2015) PNAS 112(15):4690-4695