Abstract

For a finite typed graph on $n$ nodes and with type law $\mu,$ we define the so-called spectral potential $\rho_{\lambda}(\,\cdot,\,\mu),$ of the graph.From the $\rho_{\lambda}(\,\cdot,\,\mu)$ we obtain Kullback action or the deviation function, $\mathcal{H}_{\lambda}(\pi\,\|\,\nu),$ with respect to an empirical pair measure, $\pi,$ as the Legendre dual. For the finite typed random graph conditioned to have an empirical link measure $\pi$ and empirical type measure $\mu$, we prove a Local large deviation principle (LLDP), with rate function $\mathcal{H}_{\lambda}(\pi\,\|\,\nu)$ and speed $n.$ We deduce from this LLDP, a full conditional large deviation principle and a weak variant of the classical McMillian Theorem for the typed random graphs. Given the typical empirical link measure, $\lambda\mu\otimes\mu,$ the number of typed random graphs is approximately equal $e^{n\|\lambda\mu\otimes\mu\|H\big(\lambda\mu\otimes\mu/\|\lambda\mu\otimes\mu\|\big)}.$ Note that we do not require any topological restrictions on the space of finite graphs for these LLDPs.

Highlights

  • We consider random graph models, where nodes are assigned types independently according to some type on a finite alphabet and between any two given nodes, a link is present with a probability type on a finite alphabet and between any two given nodes, a link is present with a probability that depends on the type of the nodes

  • Some Large Deviation Principles (LDPs) and Coding Theorems exists for networked data structures modelled as the Typed Random Graph (TRG) models

  • We present in this article a conditional Local large Deviation Principle (LLDP) for the TRG models given the empirical type measure of the graph

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Summary

Introduction

We consider random graph models, where nodes are assigned types independently according to some type on a finite alphabet and between any two given nodes, a link is present with a probability type on a finite alphabet and between any two given nodes, a link is present with a probability that depends on the type of the nodes. Doku-Amponsah and Mörters (2010) proved LDPs for the empirical measures of the TRG where the link probabilities are dependent on the number of nodes of the graph. We can define the typed random graph Y with [n] = {1, 2, 3,...,n} nodes as follows:

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