ArticleScientific reports2016
Graphlet-based Characterization of Directed Networks.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Weak Localization of Radiographic Manifestations in Pulmonary Tuberculosis from Chest X-ray: A Systematic Review.Sensors (Basel, Switzerland) · 2023Pooled it
- The inferred functional connectome underlying circadian synchronization in the mouse suprachiasmatic nucleus.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A Selective Review of Network Analysis Methods for Gene Expression Data.Methods in molecular biology (Clifton, N.J.) · 2025Review
- GRPhIN: graphlet characterization of regulatory and physical interaction networks.Bioinformatics advances · 2025Article
- The Functional Connectome Mediating Circadian Synchrony in the Suprachiasmatic Nucleus.bioRxiv : the preprint server for biology · 2024Article
- Distinguishable topology of the task-evoked functional genome networks in HIV-1 reservoirs.iScience · 2024Article
- Unveiling hidden connections in omics data via pyPARAGON: an integrative hybrid approach for disease network construction.Briefings in bioinformatics · 2024Article
- Exact p-values for global network alignments via combinatorial analysis of shared GO terms : REFANGO: Rigorous Evaluation of Functional Alignments of Networks using Gene Ontology.Journal of mathematical biology · 2024Article
- Directed Network Comparison Using Motifs.Entropy (Basel, Switzerland) · 2024Article
- Current and future directions in network biology.Bioinformatics advances · 2024Article
- The dynamic resilience of urban labour networks.Royal Society open science · 2023Article
- Shortcomings of reusing species interaction networks created by different sets of researchers.PLoS biology · 2023Article
- Identification of disease modules using higher-order network structure.Bioinformatics advances · 2023Article
- Machine learning: its challenges and opportunities in plant system biology.Applied microbiology and biotechnology · 2022Review
- Article
- Encoding edge type information in graphlets.PloS one · 2022Article
- Network ecology in dynamic landscapes.Proceedings. Biological sciences · 2021Article
- Network Biology Approaches to Achieve Precision Medicine in Inflammatory Bowel Disease.Frontiers in genetics · 2021Review
- Beyond Dyads and Triads: A Comparison of Tetrads in Twenty Social Networks.Social psychology quarterly · 2020Article
- A systems approach to infectious disease.Nature reviews. Genetics · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We are flooded with large-scale, dynamic, directed, networked data. Analyses requiring exact comparisons between networks are computationally intractable, so new methodologies are sought. To analyse directed networks, we extend graphlets (small induced sub-graphs) and their degrees to directed data. Using these directed graphlets, we generalise state-of-the-art network distance measures (RGF, GDDA and GCD) to directed networks and show their superiority for comparing directed networks. Also, we extend the canonical correlation analysis framework that enables uncovering the relationships between the wiring patterns around nodes in a directed network and their expert annotations. On directed World Trade Networks (WTNs), our methodology allows uncovering the core-broker-periphery structure of the WTN, predicting the economic attributes of a country, such as its gross domestic product, from its wiring patterns in the WTN for up-to ten years in the future. It does so by enabling us to track the dynamics of a country's positioning in the WTN over years. On directed metabolic networks, our framework yields insights into preservation of enzyme function from the network wiring patterns rather than from sequence data. Overall, our methodology enables advanced analyses of directed networked data from any area of science, allowing domain-specific interpretation of a directed network's topology.
Identifiers
What OpenQuestion holds
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.