ArticleScientific reports2016
Predicting missing links and identifying spurious links via likelihood analysis.
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 25 papers.
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Who cites it
25 citing papers in PubMed, 160 citations in OpenAlex.
- SAF: A Spectral-Adaptive Fusion Algorithm for Link Prediction in Complex Networks.Entropy (Basel, Switzerland) · 2026Article
- Predictability of complex networks.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Inconsistency among evaluation metrics in link prediction.PNAS nexus · 2024Article
- A Simplified Quantum Walk Model for Predicting Missing Links of Complex Networks.Entropy (Basel, Switzerland) · 2022Article
- TLP-CCC: Temporal Link Prediction Based on Collective Community and Centrality Feature Fusion.Entropy (Basel, Switzerland) · 2022Article
- Progresses and challenges in link prediction.iScience · 2021Review
- Similarity-based link prediction in social networks using latent relationships between the users.Scientific reports · 2020Article
- Link Prediction through Deep Generative Model.iScience · 2020Article
- The sensitivity of network statistics to incomplete electrode sampling on intracranial EEG.Network neuroscience (Cambridge, Mass.) · 2020Article
- Application of hyperbolic geometry in link prediction of multiplex networks.Scientific reports · 2019Article
- Brain Network Modeling Based on Mutual Information and Graph Theory for Predicting the Connection Mechanism in the Progression of Alzheimer's Disease.Entropy (Basel, Switzerland) · 2019Article
- Analysis of correlation-based biomolecular networks from different omics data by fitting stochastic block models.F1000Research · 2019Article
- Pioneering topological methods for network-based drug-target prediction by exploiting a brain-network self-organization theory.Briefings in bioinformatics · 2018Article
- Modelling Self-Organization in Complex Networks Via a Brain-Inspired Network Automata Theory Improves Link Reliability in Protein Interactomes.Scientific reports · 2018Article
- Link Prediction based on Quantum-Inspired Ant Colony Optimization.Scientific reports · 2018Article
- A unified framework for link prediction based on non-negative matrix factorization with coupling multivariate information.PloS one · 2018Article
- Network-Based Methods for Prediction of Drug-Target Interactions.Frontiers in pharmacology · 2018Review
- Similarity-based Regularized Latent Feature Model for Link Prediction in Bipartite Networks.Scientific reports · 2017Article
- Link predication based on matrix factorization by fusion of multi class organizations of the network.Scientific reports · 2017Article
- Mutual information model for link prediction in heterogeneous complex networks.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Real network data is often incomplete and noisy, where link prediction algorithms and spurious link identification algorithms can be applied. Thus far, it lacks a general method to transform network organizing mechanisms to link prediction algorithms. Here we use an algorithmic framework where a network's probability is calculated according to a predefined structural Hamiltonian that takes into account the network organizing principles, and a non-observed link is scored by the conditional probability of adding the link to the observed network. Extensive numerical simulations show that the proposed algorithm has remarkably higher accuracy than the state-of-the-art methods in uncovering missing links and identifying spurious links in many complex biological and social networks. Such method also finds applications in exploring the underlying network evolutionary mechanisms.
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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.