{
  "abstract": "Flows in random networks are known to exhibit heavy-tailed statistics, giving rise to anomalous transport in a range of biological, environmental and engineered systems. Yet, how structure determines flow remains an open question. Here we derive a dual network approach that relates flow statistics and network properties. Conditional statistics in a range of networks reveal the existence of two interlaced subnetworks with distinct hydraulic behaviors. Based on this hidden structure, we derive a universal analytical approach that predicts heavy-tailed flow statistics based on network topology and disorder distribution across a range of random networks.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.05502",
  "author_total": 4,
  "authors": [
    {
      "name": "Marco Dentz"
    },
    {
      "name": "Philippe Gouze"
    },
    {
      "name": "Tanguy le Borgne"
    },
    {
      "name": "Alexandre Puyguiraud"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/a5ndcqnpbehzs.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.05502",
  "fulltext_url": null,
  "id": "a5ndcqnpbehzs",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.05502",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cond-mat.soft"
    ],
    [
      "arxiv",
      "cond-mat.stat-mech"
    ],
    [
      "arxiv",
      "physics.flu-dyn"
    ],
    [
      "openalex",
      "3109|Complex Network Analysis Techniques"
    ]
  ],
  "openalex": "W7212086133",
  "pdf_url": "https://arxiv.org/pdf/2609.05502",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-01",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/a5ndcqnpbehzs.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:48Z",
      "native_id": "2609.05502",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.05502"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.soft",
      "subfield": "condensed-matter"
    },
    {
      "field": "physics",
      "origin": "arxiv:physics.flu-dyn",
      "subfield": "fluid-dynamics"
    },
    {
      "field": "physics",
      "origin": "arxiv:cond-mat.stat-mech",
      "subfield": "statistical-nonlinear"
    }
  ],
  "title": "A dual network approach to connect structure and flow in random networks",
  "title_text": "A dual network approach to connect structure and flow in random networks",
  "type": "preprint",
  "updated_at": "2026-10-30T12:19:48Z",
  "url": "https://research.draconitic.com/paper/a5ndcqnpbehzs",
  "venue": "arXiv",
  "versions": []
}