The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Fitting Heavy Tailed Distributions: The poweRlaw Package
Open accessAbstract
Over the last few years, the power law distribution has been used as the data generating mechanism in many disparate fields. However, at times the techniques used to fit the power law distribution have been inappropriate. This paper describes the poweRlaw R package, which makes fitting power laws and other heavy-tailed distributions straightforward. This package contains R functions for fitting, comparing and visualizing heavy tailed distributions. Overall, it provides a principled approach to power law fitting.
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Cited by
Erni-Cassola, G., Gibson, M. I., Thompson, R. C., & Christie-Oleza, J. A. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b04512 · Cited by 848
Allen, G. H., & Pavelsky, T. M. (2015) · Geophysical Research Letters · doi:10.1002/2014gl062764 · Cited by 160
Large-scale network analysis reveals the sequence space architecture of antibody repertoires
Miho, E., Roškar, R., Greiff, V., & Reddy, S. T. (2019) · Nature Communications · doi:10.1038/s41467-019-09278-8 · Cited by 138
Emergent properties, models, and laws of behavioral similarities within groups of twitter users
Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2020) · Computer Communications · doi:10.1016/j.comcom.2019.10.019 · Cited by 40
Thelwall, M. (2016) · Journal of Informetrics · doi:10.1016/j.joi.2016.04.014 · Cited by 36
Metadata
- Authors
- Gillespie, C. S.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2015
- Volume
- 64
- Issue
- 2
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W1903203327
- Cited by
- 472
- References
- 14
- FWCI
- 37.67
- Type
- journal article
- Language
- en
- Open access
- diamond
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