Jamming is limited in scale-free systems
Zoltán Toroczkai () and
Kevin E. Bassler
Additional contact information
Zoltán Toroczkai: Center for Nonlinear Studies and Complex Systems Group, Los Alamos National Laboratory
Kevin E. Bassler: University of Houston
Nature, 2004, vol. 428, issue 6984, 716-716
Abstract:
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.
Date: 2004
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.nature.com/articles/428716a Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:428:y:2004:i:6984:d:10.1038_428716a
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/428716a
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().