ArticlePhysical review letters2019
Network Reconstruction and Community Detection from Dynamics.
Article in Physical review letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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Who cites it
29 citing papers in PubMed.
- Inferring signed social networks from contact patterns.Journal of physics. Complexity · 2026Article
- Article
- Restricted Network Reconstruction from Time Series via Dempster-Shafer Evidence Theory.Entropy (Basel, Switzerland) · 2026Article
- Unraveling the neural code: analysis of large-scale two-photon microscopy data.Microscopy (Oxford, England) · 2025Review
- Revealing non-trivial information structures in aneural biological tissues via functional connectivity.PLoS computational biology · 2025Article
- Hypergraph reconstruction from dynamics.Nature communications · 2025Article
- Challenges and opportunities for digital twins in precision medicine from a complex systems perspective.NPJ digital medicine · 2025Review
- Reconstructing networks from simple and complex contagions.Physical review. E · 2024Article
- Tensor product algorithms for inference of contact network from epidemiological data.BMC bioinformatics · 2024Article
- Social Network Forensics Analysis Model Based on Network Representation Learning.Entropy (Basel, Switzerland) · 2024Article
- Reassessing the modularity of gene co-expression networks using the Stochastic Block Model.PLoS computational biology · 2024Article
- Duality between predictability and reconstructability in complex systems.Nature communications · 2024Article
- Identifying microbial drivers in biological phenotypes with a Bayesian network regression model.Ecology and evolution · 2024Article
- Reassessing the modularity of gene co-expression networks using the Stochastic Block Model.bioRxiv : the preprint server for biology · 2024Article
- Link prediction accuracy on real-world networks under non-uniform missing-edge patterns.PloS one · 2024Article
- The effectiveness of intervention measures on MERS-CoV transmission by using the contact networks reconstructed from link prediction data.Frontiers in public health · 2024Article
- Hyperedge prediction and the statistical mechanisms of higher-order and lower-order interactions in complex networks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Real-time updating of dynamic social networks for COVID-19 vaccination strategies.Journal of ambient intelligence and humanized computing · 2023Article
- Bayesian inference of transition matrices from incomplete graph data with a topological prior.EPJ data science · 2023Article
- Feature learning and network structure from noisy node activity data.Physical review. E · 2022Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a scalable nonparametric Bayesian method to perform network reconstruction from observed functional behavior that at the same time infers the communities present in the network. We show that the joint reconstruction with community detection has a synergistic effect, where the edge correlations used to inform the existence of communities are also inherently used to improve the accuracy of the reconstruction which, in turn, can better inform the uncovering of communities. We illustrate the use of our method with observations arising from epidemic models and the Ising model, both on synthetic and empirical networks, as well as on data containing only functional information.
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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.