A Principle for Network Science

Abstract

Network Science forms one of the most challenging areas of modern research overarching the traditional scientific disciplines. Of particular importance is the manner in which information is shuttled back and forth between complex networks, and whether or not there exists general principles that guide the flow of information. Herein, we identify Wieners rule, which conjectures how information is transferred in an information-dominated process. Moreover, we show that this rule is a consequence of a Principle of Complexity Management (PCM) that determines the efficiency of information exchange between complex networks and has been proven in a mathematically rigorous manner in the past year. The applications of PCM to the phenomena of habituation, forgetting, and decision making made in the past year are reviewed.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2011
Accession Number
AD1043591

Entities

People

  • Bruce J. West
  • Paolo Grigolini

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Biological Sciences
  • Cross Correlation
  • Data Science
  • Equations
  • High Energy
  • Information Exchange
  • Information Processing
  • Information Science
  • Information Systems
  • Information Transfer
  • Mathematical Models
  • Models
  • Network Science
  • Physics
  • Probability
  • Statistics
  • Time Intervals

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Systems Analysis and Design
  • Theoretical Analysis.