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

Published online by Cambridge University Press:  16 June 2023

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.

Abstract

This paper investigates properties of the class of graphs based on exchangeable point processes. We provide asymptotic expressions for the number of edges, number of nodes, and degree distributions, identifying four regimes: (i) a dense regime, (ii) a sparse, almost dense regime, (iii) a sparse regime with power-law behaviour, and (iv) an almost extremely sparse regime. We show that, under mild assumptions, both the global and local clustering coefficients converge to constants which may or may not be the same. We also derive a central limit theorem for subgraph counts and for the number of nodes. Finally, we propose a class of models within this framework where one can separately control the latent structure and the global sparsity/power-law properties of the graph.

Information

Type
Original Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Applied Probability Trust

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