Do power laws imply self-regulation?
Robert P. Freckleton () and
William J. Sutherland
Additional contact information
Robert P. Freckleton: University of Oxford
William J. Sutherland: School of Biological Sciences, University of East Anglia
Nature, 2001, vol. 413, issue 6854, 382-382
Abstract:
Abstract Negative feedback leading to self-regulatory behaviour is an important phenomenon that affects time-series fluctuations in a range of systems and is critical in forecasting and management, particularly when complex dynamics are possible. Smethurst and Williams1 argue that the lengths of waiting-lists to see hospital consultants are self-regulating, on the grounds that the relative changes in the size of waiting-lists follow a power law, with large changes being relatively rare compared with small ones. Here we show that similar power laws can also be obtained from unregulated, random time series. The existence of a power law that governs fluctuations in time series is not sufficient to prove the existence of self-regulatory behaviour, and we argue that a more sophisticated analysis is required.
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.nature.com/articles/35096646 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:413:y:2001:i:6854:d:10.1038_35096646
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/35096646
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 ().