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Information flow in a network of dispersed signalers-receivers

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  • Halupka, Konrad

Abstract

I consider a stochastic model of multi-agent communication in regular network. The model describes how dispersed animals exchange information. Each agent can initiate and transfer the signal to its nearest neighbors, who may pass it farther. For an external observer of busy networks, signaling activity may appear random, even though information flow actually thrives. Only when signal initiation and transfer are at low levels do spatiotemporal autocorrelations emerge as clumping signaling activity in space and pink noise time series. Under such conditions, the costs of signaling are moderate, but the signaler can reach a large audience. I propose that real-world networks of dispersed signalers-receivers may self-organize into this state and the flow of information maintains their integrity.

Suggested Citation

  • Halupka, Konrad, 2017. "Information flow in a network of dispersed signalers-receivers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 610-617.
    • Handle: RePEc:eee:phsmap:v:486:y:2017:i:c:p:610-617
    DOI: 10.1016/j.physa.2017.05.068
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    References listed on IDEAS

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    1. Konrad Halupka, 2014. "Spreading Information in a Network of Interacting Neighbours," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-5, July.
    2. Kembro, Jackelyn M. & Flesia, Ana Georgina & Gleiser, Raquel M. & Perillo, María A. & Marin, Raul H., 2013. "Assessment of long-range correlation in animal behavior time series: The temporal pattern of locomotor activity of Japanese quail (Coturnix coturnix) and mosquito larva (Culex quinquefasciatus)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6400-6413.
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