Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-23T19:23:18.522Z Has data issue: false hasContentIssue false
  • English
  • Français

On sparsity, power-law, and clustering properties of graphex processes - ADDENDUM

Published online by Cambridge University Press:  27 October 2023

François Caron ,
Francesca Panero  and
Judith Rousseau
François Caron*
Affiliation:
University of Oxford
Francesca Panero*
Affiliation:
London School of Economics and Political Science
Judith Rousseau*
Affiliation:
University of Oxford
*
*Postal address: Department of Statistics, 24-29 St Giles’, Oxford OX1 3LB, United Kingdom.
***Postal address: Department of Statistics, 69 Aldwych, London WC2B 4RR, United Kingdom. Email address: [email protected]
*Postal address: Department of Statistics, 24-29 St Giles’, Oxford OX1 3LB, United Kingdom.
Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.

Keywords

NetworkssparsityPoisson processescommunity structurepower lawgeneralised graphontransitivitysubgraph counts
Type
Addendum
Information
Advances in Applied Probability , First View , pp. 1
Check for updates
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Applied Probability Trust

This article was originally published without a data access statement. The data access information has been added and all versions of the article have been updated.

References

Caron, F., Panero, F., & Rousseau, J. (2023). On sparsity, power-law, and clustering properties of graphex processes. Advances in Applied Probability, 1–43.CrossRefGoogle Scholar