Spatial Structure and Information Transfer in Visual Networks

نویسندگان

چکیده

In human and animal groups, social interactions often rely on the transmission of information via visual observation behavior others. These are governed by laws physics sensory limits. Individuals appear smaller when far away thus become harder to detect visually, while close neighbors tend occlude large areas field block out with individuals behind them. Here, we systematically study effect a group’s spatial structure, its density as well polarization aspect ratio physical bodies, properties static interaction networks. such network connected if they can see each other opposed models metric or topological networks that omit these limitations due individual’s bodies. We find structural parameters especially their dependence group fundamentally different from two types. This results in characteristic deviations spreading which dynamics generic SIR-type contagion expect our work have implications for where it could inform functional benefits macroscopic states. It may also be applicable construction robotic swarms communicating vision understanding spread panics crowds.

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ژورنال

عنوان ژورنال: Frontiers in Physics

سال: 2021

ISSN: ['2296-424X']

DOI: https://doi.org/10.3389/fphy.2021.716576