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Jamming is limited in scale-free systems

Author

Listed:
  • Zoltán Toroczkai

    (Center for Nonlinear Studies and Complex Systems Group, Los Alamos National Laboratory)

  • Kevin E. Bassler

    (University of Houston)

Abstract

A large number of complex networks are scale-free1,2 — that is, they follow a power-law degree distribution. Here we propose that the emergence of many scale-free networks is tied to the efficiency of transport and flow processing across these structures. In particular, we show that for large networks on which flows are influenced or generated by gradients of a scalar distributed on the nodes, scale-free structures will ensure efficient processing, whereas structures that are not scale-free, such as random graphs3, will become congested.

Suggested Citation

  • Zoltán Toroczkai & Kevin E. Bassler, 2004. "Jamming is limited in scale-free systems," Nature, Nature, vol. 428(6984), pages 716-716, April.
    • Handle: RePEc:nat:nature:v:428:y:2004:i:6984:d:10.1038_428716a
    DOI: 10.1038/428716a
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    Cited by:

    1. Wu, Jian-Jun & Gao, Zi-You & Sun, Hui-jun, 2008. "Optimal traffic networks topology: A complex networks perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(4), pages 1025-1032.
    2. Maniadakis, Dimitris & Varoutas, Dimitris, 2014. "Network congestion analysis of gravity generated models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 114-127.

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