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

Fabio Lamanna, Michele Prisma, Giorgio Medeossi

Open source

DOI: 10.1371/journal.pone.0328681
Published: 2025-07-18
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0328681,
  title = {Unveiling connectivity patterns of railway timetables through complex network theory and Infomap clustering},
  author = {Fabio Lamanna and Michele Prisma and Giorgio Medeossi},
  year = {2025},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0328681},
  url = {https://doi.org/10.1371/journal.pone.0328681}
}

RIS

TY  - JOUR
TI  - Unveiling connectivity patterns of railway timetables through complex network theory and Infomap clustering
AU  - Fabio Lamanna
AU  - Michele Prisma
AU  - Giorgio Medeossi
PY  - 2025
JO  - PLOS One
DO  - 10.1371/journal.pone.0328681
UR  - https://doi.org/10.1371/journal.pone.0328681
ER  -

APA

Lamanna, F., Prisma, M., & Medeossi, G. (2025). Unveiling connectivity patterns of railway timetables through complex network theory and Infomap clustering. PLOS One. https://doi.org/10.1371/journal.pone.0328681

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crossref · retrieved 2026-09-25T04:32:10.018Z