ArticleBMC bioinformatics2017
ATria: a novel centrality algorithm applied to biological networks.
Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Attention Deficit Hyperactivity Disorder (ADHD) and the gut microbiome: An ecological perspective.PloS one · 2023Article
- Detection of Genes inGenes · 2021Article
- MATria: a unified centrality algorithm.BMC bioinformatics · 2019Article
- Constructing lightweight and flexible pipelines using Plugin-Based Microbiome Analysis (PluMA).Bioinformatics (Oxford, England) · 2018Article
- Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach.Biology direct · 2018Article
- N-dodecanoyl-homoserine lactone influences the levels of thiol and proteins related to oxidation-reduction process in Salmonella.PloS one · 2018Article
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Authors and funding
4 authors.
Funding
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Abstract
backgroundThe notion of centrality is used to identify "important" nodes in social networks. Importance of nodes is not well-defined, and many different notions exist in the literature. The challenge of defining centrality in meaningful ways when network edges can be positively or negatively weighted has not been adequately addressed in the literature. Existing centrality algorithms also have a second shortcoming, i.e., the list of the most central nodes are often clustered in a specific region of the network and are not well represented across the network.
methodsWe address both by proposing Ablatio Triadum (ATria), an iterative centrality algorithm that uses the concept of "payoffs" from economic theory.
resultsWe compare our algorithm with other known centrality algorithms and demonstrate how ATria overcomes several of their shortcomings. We demonstrate the applicability of our algorithm to synthetic networks as well as biological networks including bacterial co-occurrence networks, sometimes referred to as microbial social networks.
conclusionsWe show evidence that ATria identifies three different kinds of "important" nodes in microbial social networks with different potential roles in the community.
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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.