ArticleJournal of complex networks2021
The distance backbone of complex networks.
Article in Journal of complex networks, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
19 citing papers in PubMed.
- Extracting the transitivity backbone of bipartite networks.Nature communications · 2026Article
- myAURA: a personalized health library for epilepsy management via knowledge graph sparsification and visualization.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Sex-specific transcriptome similarity networks elucidate comorbidity relationships.Communications medicine · 2025Article
- Patient stratification reveals the molecular basis of disease co-occurrences.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Quantifying edge relevance for epidemic spreading via the semi-metric topology of complex networks.Journal of physics. Complexity · 2025Article
- Focused digital cohort selection from social media using the metric backbone of biomedical knowledge graphs.Journal of biomedical informatics · 2025Article
- ProCaliper: functional and structural analysis, visualization, and annotation of proteins.Bioinformatics advances · 2025Article
- Exploring weighted network backbone extraction: A comparative analysis of structural techniques.PloS one · 2025Article
- Article
- The conserved genetic program of male germ cells uncovers ancient regulators of human spermatogenesis.eLife · 2024Article
- The ultrametric backbone is the union of all minimum spanning forests.Journal of physics. Complexity · 2024Article
- Article
- An evaluation tool for backbone extraction techniques in weighted complex networks.Scientific reports · 2023Article
- Article
- Epidemic thresholds and human mobility.Scientific reports · 2023Article
- Analysis of electronic health records from three distinct and large populations reveals high prevalence and biases in the co-administration of drugs known to interact.medRxiv : the preprint server for health sciences · 2023Article
- Contact networks have small metric backbones that maintain community structure and are primary transmission subgraphs.PLoS computational biology · 2023Article
- Interactive network-based clustering and investigation of multimorbidity association matrices with associationSubgraphs.Bioinformatics (Oxford, England) · 2023Article
- Effective resistance against pandemics: Mobility network sparsification for high-fidelity epidemic simulations.PLoS computational biology · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Redundancy needs more precise characterization as it is a major factor in the evolution and robustness of networks of multivariate interactions. We investigate the complexity of such interactions by inferring a connection transitivity that includes all possible measures of path length for weighted graphs. The result, without breaking the graph into smaller components, is a distance backbone subgraph sufficient to compute all shortest paths. This is important for understanding the dynamics of spread and communication phenomena in real-world networks. The general methodology we formally derive yields a principled graph reduction technique and provides a finer characterization of the triangular geometry of all edges-those that contribute to shortest paths and those that do not but are involved in other network phenomena. We demonstrate that the distance backbone is very small in large networks across domains ranging from air traffic to the human brain connectome, revealing that network robustness to attacks and failures seems to stem from surprisingly vast amounts of redundancy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.