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ZENODO
Software . 2019
Data sources: Datacite
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ZENODO
Software . 2019
Data sources: Datacite
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ZENODO
Software . 2019
Data sources: ZENODO
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Data and code for Testing Statistical Laws in Complex Systems

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 16 Apr 2019Publisher:Zenodo
Authors: Martin Gerlach; Eduardo G. Altmann;
Code repository: https://github.com/martingerlach/testing-statistical-laws-in-complex-systems/tree/v1.0

doi: 10.5281/zenodo.2641374 , 10.5281/zenodo.2641375

Data and code for Testing Statistical Laws in Complex Systems

Abstract

Data and code for the paper: Martin Gerlach and Eduardo Altmann, Testing Statistical Laws in Complex Systems, Physical Review Letters (2019) See also the github-repo for updated versions of the code: https://github.com/martingerlach/testing-statistical-laws-in-complex-systems

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Keywords

Scaling laws, Statistical laws, Maximum likelihood, Correlations

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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