A suite of allotaxonometric tools for the comparison of complex systems using rank-turbulence divergence

Fuente: arXiv
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Bibliographic Details
Main Authors: St-Onge, Jonathan, Fehr, Ashley M. A., Ward, Carter, Beauregard, Calla G., Arnold, Michael V., Rosenblatt, Samuel F., Cooley, Benjamin, Danforth, Christopher M., Dodds, Peter Sheridan
Format: Preprint
Published: 2025
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author St-Onge, Jonathan
Fehr, Ashley M. A.
Ward, Carter
Beauregard, Calla G.
Arnold, Michael V.
Rosenblatt, Samuel F.
Cooley, Benjamin
Danforth, Christopher M.
Dodds, Peter Sheridan
author_facet St-Onge, Jonathan
Fehr, Ashley M. A.
Ward, Carter
Beauregard, Calla G.
Arnold, Michael V.
Rosenblatt, Samuel F.
Cooley, Benjamin
Danforth, Christopher M.
Dodds, Peter Sheridan
contents Describing and comparing complex systems requires principled, theoretically grounded tools. Built around the phenomenon of type turbulence, allotaxonographs provide map-and-list visual comparisons of pairs of heavy-tailed distributions. Allotaxonographs are designed to accommodate a wide range of instruments including rank- and probability-turbulence divergences, Jenson-Shannon divergence, and generalized entropy divergences. Here, we describe a suite of programmatic tools for rendering allotaxonographs for rank-turbulence divergence in Matlab, Javascript, and Python, all of which have different use cases.
format Preprint
id arxiv_https___arxiv_org_abs_2506_21808
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A suite of allotaxonometric tools for the comparison of complex systems using rank-turbulence divergence
St-Onge, Jonathan
Fehr, Ashley M. A.
Ward, Carter
Beauregard, Calla G.
Arnold, Michael V.
Rosenblatt, Samuel F.
Cooley, Benjamin
Danforth, Christopher M.
Dodds, Peter Sheridan
Computation and Language
Describing and comparing complex systems requires principled, theoretically grounded tools. Built around the phenomenon of type turbulence, allotaxonographs provide map-and-list visual comparisons of pairs of heavy-tailed distributions. Allotaxonographs are designed to accommodate a wide range of instruments including rank- and probability-turbulence divergences, Jenson-Shannon divergence, and generalized entropy divergences. Here, we describe a suite of programmatic tools for rendering allotaxonographs for rank-turbulence divergence in Matlab, Javascript, and Python, all of which have different use cases.
title A suite of allotaxonometric tools for the comparison of complex systems using rank-turbulence divergence
topic Computation and Language
url https://arxiv.org/abs/2506.21808