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Multiscale Information Propagation in Emergent Functional Networks.

Arsham Ghavasieh1,2, Manlio De Domenico2

  • 1Department of Physics, University of Trento, Via Sommarive 5, 38123 Povo, Trento , Italy.

Entropy (Basel, Switzerland)
|October 23, 2021
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Summary

This study introduces a new method to analyze complex biological networks, revealing how functional modules in fungal networks maintain high information content and diversity. This approach enhances our understanding of emergent properties in complex systems.

Keywords:
fungal networksinformation dynamicsmultiscale analysisnetwork density matrixnetworks entropy

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Area of Science:

  • Complex systems biology
  • Network science
  • Mycology

Background:

  • Complex biological systems exhibit emergent properties from interconnected units, but understanding structure-dynamics coupling remains a challenge.
  • Collective computation is a key emergent property, yet its origins in network structure and dynamics are not fully understood.

Purpose of the Study:

  • To introduce and analyze the multiscale emergent functional state (MEFS) as a novel network representation.
  • To investigate the distribution of flow and identify functional modules across different scales in fungal networks.
  • To demonstrate the role of functional modules in determining the information content of networks via spectral entropy.

Main Methods:

  • Representing biological networks as graphs where links quantify flow exchange between nodes.
  • Utilizing diffusion processes on networks to calculate inter-node flow.
  • Analyzing the emergent functional state to identify modules and quantify information content using network spectral entropy.

Main Results:

  • Identified functional modules at multiple scales within 92 fungal networks.
  • Demonstrated that functional modules are crucial for the information content of these networks.
  • Quantified the relationship between network topological complexity, functional modules, and high information entropy.

Conclusions:

  • The topological complexity of fungal networks inherently supports the existence of multiscale functional modules.
  • These functional modules are essential for maintaining high information entropy and functional diversity.
  • The multiscale emergent functional state provides a framework for understanding information processing in complex biological systems.