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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

A big world inside small-world networks.

Zhihua Zhang1, Jianzhi Zhang

  • 1Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America.

Plos One
|May 30, 2009
PubMed
Summary
This summary is machine-generated.

Real networks, including biological networks, exhibit larger diameters than random networks. This slight increase in diameter allows for significantly higher network modularity, suggesting a trade-off between efficiency and robustness.

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Area of Science:

  • Network science
  • Systems biology
  • Complex systems

Background:

  • Real-world networks often display the small-world property, characterized by a short network diameter.
  • Shorter diameters are generally associated with increased network efficiency, such as faster state transitions in metabolic networks.

Purpose of the Study:

  • To investigate the relationship between network diameter and random expectations across various real-world networks.
  • To explore the impact of diameter variations on network modularity and its implications for network function.

Main Methods:

  • Analysis of network diameter in biological, social, technological, and linguistic networks.
  • Computer simulations to model the effects of diameter changes on network modularity.

Main Results:

  • Observed network diameters consistently exceeded random expectations across all examined real networks.
  • Simulations demonstrated that a moderate increase in diameter significantly enhances network modularity.

Conclusions:

  • Real networks appear to sacrifice optimal network efficiency (shorter diameter) for increased modularity.
  • This trade-off suggests that higher modularity provides benefits like multi-functionality, robustness, and evolvability, outweighing the efficiency gains of a shorter diameter.