The shortest-path distance on graphons

Abstract We define an analogue of the shortest-path distance for graphons. The proposed method is rooted on the extension to graphons of Varadhan’s formula, a result that links the solution of the heat equation on a Riemannian manifold to its geodesic distance. The resulting metric is integer-valued, and for step graphons obtained from finite graphs it is essentially equivalent to the usual shortest-path distance. We further draw a link between the Varadhan distance and the communicability distance, that contains information from all paths, not just shortest-paths, and thus provides a finer distance on graphons along with a natural isometric embedding into a Hilbert space.

Authors

Institutions

Publication Details

Journal
Journal of Complex Networks
Published
2025-10-17
DOI
https://doi.org/10.1093/comnet/cnaf045
Primary Topic
Advanced Graph Theory Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The shortest-path distance on graphons

Timotéo Carletti, Julien Petit, Cédric Simal
Journal of Complex Networks
Advanced Graph Theory Research
article

The shortest-path distance on graphons

Timotéo Carletti, Julien Petit, Cédric Simal
article en

Abstract

Abstract We define an analogue of the shortest-path distance for graphons. The proposed method is rooted on the extension to graphons of Varadhan’s formula, a result that links the solution of the heat equation on a Riemannian manifold to its geodesic distance. The resulting metric is integer-valued, and for step graphons obtained from finite graphs it is essentially equivalent to the usual shortest-path distance. We further draw a link between the Varadhan distance and the communicability distance, that contains information from all paths, not just shortest-paths, and thus provides a finer distance on graphons along with a natural isometric embedding into a Hilbert space.

Journal of Complex NetworksVol. 13(6)
University of Namur (BE), Royal Military Academy (BE)
Openalex Percentile: Top 69%
Advanced Graph Theory Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.