ArticleNature communications2019
Reconstructing missing complex networks against adversarial interventions.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Beyond the Very Important Pharmacogenes (VIPs): Uncovering Shadow Pharmacogenes in the Human Drug Response Network.ACS omega · 2026Article
- Topological Environment in Genetic and Metabolic Networks.bioRxiv : the preprint server for biology · 2026Article
- Activity constraints and the emergence of non-scale-free networks: Evidence from hip-hop and academia.PloS one · 2026Article
- Target controllability: a feed-forward greedy algorithm in complex networks, meeting Kalman's rank condition.Bioinformatics (Oxford, England) · 2024Article
- A unified approach of detecting phase transition in time-varying complex networks.Scientific reports · 2023Article
- Uncertainty in vulnerability of networks under attack.Scientific reports · 2023Article
- Sexual dimorphism in the relationship between brain complexity, volume and general intelligence (g): a cross-cohort study.Scientific reports · 2022Article
- Inferring functional communities from partially observed biological networks exploiting geometric topology and side information.Scientific reports · 2022Article
- Editorial: Inference, Causality and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology With Implications for Artificial Intelligence.Frontiers in physiology · 2022Article
- Adding links on minimum degree and longest distance strategies for improving network robustness and efficiency.PloS one · 2022Article
- Deciphering the generating rules and functionalities of complex networks.Scientific reports · 2021Article
- Deciphering the laws of social network-transcendent COVID-19 misinformation dynamics and implications for combating misinformation phenomena.Scientific reports · 2021Article
- Recovery patterns and physics of the network.PloS one · 2021Article
- Controlling the Multifractal Generating Measures of Complex Networks.Scientific reports · 2020Article
- Distinguishing Epileptiform Discharges From Normal Electroencephalograms Using Adaptive Fractal and Network Analysis: A Clinical Perspective.Frontiers in physiology · 2020Article
- Editorial: Fractal and Multifractal Facets in the Structure and Dynamics of Physiological Systems and Applications to Homeostatic Control, Disease Diagnosis and Integrated Cyber-Physical Platforms.Frontiers in physiology · 2020Article
- A Brief Review of Chimera State in Empirical Brain Networks.Frontiers in physiology · 2020Review
- Taming the Unknown Unknowns in Complex Systems: Challenges and Opportunities for Modeling, Analysis and Control of Complex (Biological) Collectives.Frontiers in physiology · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Interactions within complex network components define their operational modes, collective behaviors and global functionality. Understanding the role of these interactions is limited by either sensing methodologies or intentional adversarial efforts that sabotage the network structure. To overcome the partial observability and infer with good fidelity the unobserved network structures (latent subnetworks that are not random samples of the full network), we propose a general causal inference framework for reconstructing network structures under unknown adversarial interventions. We explore its applicability in both biological and social systems to recover the latent structures of human protein complex interactions and brain connectomes, as well as to infer the camouflaged social network structure in a simulated removal process. The demonstrated effectiveness establishes its good potential for capturing hidden information in much broader research domains.
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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.