Critical Truths About Power Laws
By M. P. Stumpf, M. A. Porter. Science, 2012
618 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/2498365dbff51d041c04b1a75d3f6619d11480b9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Colin S. Gillespie
- Miguel Angel Muñoz
- Y. Kamer
- S. Hiemer
- Yogesh Virkar
- John M. Beggs
- Nicholas M. Timme
- G. Pyke
In Statistical and Nonlinear Physics
- Miguel Angel Muñoz
- M. A. Porter
- Nicholas M. Timme
- Colin S. Gillespie
- Aaron Clauset
- Yogesh Virkar
- John M. Beggs
- Y. Kamer
Citations in the corpus
- Being Critical of Criticality in the Brain (2012, background): “People have written entire articles devoted largely to this topic (Mitzenmacher, 2004; Newman, 2005; Stumpf and Porter, 2012).”
- Zipf’s word frequency law in natural language: A critical review and future directions (2014, background): “Unfortunately, essentially all of the work in language research has focused solely on deriving the law itself in principle; very little work has attempted to assess the underlying assumptions of the hypothesized explanation, a problem for much work on power laws in science (Stumpf & Porter, 2012).”
- 25 Years of Self-Organized Criticality: Solar and Astrophysics (2014, background): “These well-understood effects should be taken into account in arguments countering power laws and their validity and interpretation, as expressed by Stumpf and Porter (2012).”
- Power-law distributions in binned empirical data (2012, background): “This perspective has a long and ongoing history, reaching at least as far back as Ijiri and Simon (1977), with modern analogs given by Mitzenmacher (2006) and by Stumpf and Porter (2012).”
- Fitting Heavy Tailed Distributions: The poweRlaw Package (2014, background): “Stumpf and Porter (2012) correctly highlight that many supposed power law relationships are at best dubious and some obviously false.”
- Colloquium: Criticality and dynamical scaling in living systems (2017, background): “For some authors they reveal fundamental mechanisms, while some others perceive them as largely uninformative (Kello et al., 2010; Stumpf and Porter, 2012) or even “more-normal-than-normal” distributions (Willinger et al., 2004).”
- Data‐driven spatial b value estimation with applications to California seismicity: To b or not to b (2015, background): “This is also why, as a rule of thumb, any candidate power law is required to span at least 2 orders of magnitude in both x and y axes [Stumpf and Porter, 2012].”
- Finding the core: Network structure in interbank markets (2014, neutral): “However, the statistical support for many of these claims has recently been called into question (Stumpf and Porter [29]).”
- Understanding movements of organisms: it's time to abandon the Lévy foraging hypothesis (2015, background): “…scenarios and there may be general differences between foraging scenarios that lead to L evy vs. non-L evy step length distributions, which would bemost interesting as predicting and/or observing L evy distributions at large spatial scales would otherwise seem pretty trivial (Stumpf & Porter 2012).”
- The spectral exponent of the resting EEG indexes the presence of consciousness during unresponsiveness induced by propofol, xenon, and ketamine (2019, neutral): “A singular scaling regime should be observed for at least two-orders of magnitude 611 for both x and y axis, in order to have the statistical support to declare that a genuine power-law 612 relationship exists [112].”
- Limit order books (2010, methodology): “2009, Stumpf and Porter 2012). Many authors use ordinary least-squares regression on a log–log plot to estimate power-law exponents from LOB data, yet Clauset et al. (2009) showed that this method produces significant system-”