Hostname: page-component-6dbcb7884d-q4sxc Total loading time: 0 Render date: 2025-02-14T07:52:47.493Z 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: f.panero@lse.ac.uk
*Postal address: Department of Statistics, 24-29 St Giles’, Oxford OX1 3LB, United Kingdom.
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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