Abstract

Received 23 April 2021DOI:https://doi.org/10.1103/PhysRevResearch.3.029003Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.Published by the American Physical SocietyPhysics Subject Headings (PhySH)Research AreasNetwork structurePatterns in complex systemsPhysical SystemsReal world networksRoad networksStochastic networksWatts-Strogatz networkTechniquesSpreading modelsInterdisciplinary PhysicsNetworks

Highlights

  • The specific numerical values that are next to the color bar apply only to panel (c)

  • Erratum: Spatial applications of topological data analysis: Cities, snowflakes, random structures, and spiders spinning under the influence [Phys

  • We clarify the following sentence about Watts–Strogatz (WS) networks: “In Fig. 7, we see that a WS small-world network eventually has an infection network that consists of a single connected component.”. This sentence describes a true feature of our simulation, but the words “we see” imply that one can necessarily see this in the plot without ambiguity, and that is not the case

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Summary

Introduction

Erratum: Spatial applications of topological data analysis: Cities, snowflakes, random structures, and spiders spinning under the influence [Phys.

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