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Dynamic information routing in complex networks.

Christoph Kirst1,2,3,4,5, Marc Timme1,3,4, Demian Battaglia6

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Summary
This summary is machine-generated.

Complex networks can flexibly route information by switching collective dynamics. This mechanism reorganizes information sharing patterns, aiding in understanding and designing network communication.

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Area of Science:

  • Complex systems
  • Network science
  • Information theory

Background:

  • Flexible information routing is crucial for biological and artificial networks.
  • Mechanisms for dynamic information routing in complex systems remain poorly understood.

Purpose of the Study:

  • To identify a generic mechanism for flexible information routing in complex networks.
  • To analyze how collective dynamics influence information sharing and routing patterns.

Main Methods:

  • Investigated information routing using delayed mutual information and transfer entropy.
  • Analyzed oscillatory dynamics in complex networks with varying topologies and external inputs.
  • Examined routing patterns in multi-scale, modular network architectures.

Main Results:

  • Switching between collective dynamics reconfigures information sharing and routing.
  • Individual unit properties, network topology, and external inputs systematically organize routing.
  • Local interventions can influence remote, network-wide communication patterns.

Conclusions:

  • A generic mechanism for flexible information routing based on collective dynamics was identified.
  • This mechanism provides insights into designing and understanding information routing in complex systems.
  • The findings are applicable to both biological and artificial networks exhibiting collective dynamics.