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Related Concept Videos

Protein Networks02:26

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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Information storage, loop motifs, and clustered structure in complex networks.

Joseph T Lizier1, Fatihcan M Atay, Jürgen Jost

  • 1Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany. lizier@mis.mpg.de

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 26, 2012
PubMed
Summary

Complex networks store information locally. Directed feedback and feedforward motifs, along with clustering, significantly enhance this information storage capability in individual nodes.

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Area of Science:

  • Network Science
  • Information Theory
  • Computational Neuroscience

Background:

  • Complex networks are ubiquitous in nature and technology.
  • Understanding information processing within these networks is crucial.
  • Node-level information storage is a key network property.

Purpose of the Study:

  • To analyze information storage capability of individual nodes in complex networks.
  • To investigate the role of network motifs in local information storage.
  • To establish relationships between network structure and information storage.

Main Methods:

  • Utilized a standard discrete-time linear Gaussian model.
  • Analyzed network structure and link weights.
  • Investigated two- and three-node motifs and clustering coefficients.

Main Results:

  • Directed feedback and feedforward loop motifs dominantly contribute to information storage.
  • Weighted motif counts positively correlate with local storage capability.
  • Direct local relationships were found between clustering coefficients and information storage.

Conclusions:

  • Network motifs, particularly feedback and feedforward loops, are critical for local information storage.
  • Clustered network structures directly influence information storage capacity.
  • These findings explain the dynamical importance and prevalence of motifs in biological and artificial networks.