Unveiling connectivity patterns of railway timetables through complex network theory and Infomap clustering.

Unveiling connectivity patterns of railway timetables through complex network theory and Infomap clustering.

This study introduces a novel framework for analysing railway timetable connectivity through complex network theory and the Infomap clustering algorithm. By transforming timetable data into network representations, we systematically assess the connectivity and efficiency of the Norwegian railway sys...

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Bibliographic Details
Main Authors: Fabio Lamanna, Michele Prisma, Giorgio Medeossi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0328681
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