Analysis and Control of Epidemics: A survey of spreading processes on complex networks
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Abstract (arXiv)
This article reviews and presents various solved and open problems in the development, analysis, and control of epidemic models. We are interested in presenting a relatively concise report for new engineers looking to enter the field of spreading processes on complex networks.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 May 2015.
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Citing papers per year: 2021: 3; 2022: 3; 2023: 5; 2024: 1; 2025: 1; 2026: 1.
14 papers.
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- 2022Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Surveycited by 8
- 2021Causal Discovery in Linear Structural Causal Models with Deterministic Relationscited by 4
- 2022A Direct Approximation of AIXI Using Logical State Abstractionscited by 2
- 2023Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processescited by 2
- 2021Transfer Learning for Node Regression Applied to Spreading Predictioncited by 1
- 2021A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic modelcited by 1
- 2022Transmission Neural Networks: From Virus Spread Models to Neural Networkscited by 1
- 2023Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classificationcited by 1
- 2024Privacy Preserving Reinforcement Learning for Population Processescited by 1
- 2023Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inferencecited by 0
- 2023Hypergraph Echo State Networkcited by 0
- 2023Dynamic Knowledge Injection for AIXI Agentscited by 0
- 2026Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning19 Mar 2026
- 2025Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control18 Jun 2025
- 2024Privacy Preserving Reinforcement Learning for Population Processes25 Jun 2024
- 2023Dynamic Knowledge Injection for AIXI Agents18 Dec 2023
- 2023Hypergraph Echo State Network16 Oct 2023
- 2023Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification3 Jul 2023
- 2023Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference30 Jun 2023
- 2023Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes1 Apr 2023
- 2022A Direct Approximation of AIXI Using Logical State Abstractions13 Oct 2022
- 2022Transmission Neural Networks: From Virus Spread Models to Neural Networks7 Aug 2022
- 2022Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey15 Feb 2022
- 2021Causal Discovery in Linear Structural Causal Models with Deterministic Relations30 Oct 2021
- 2022Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Surveycited by 8
- 2021Causal Discovery in Linear Structural Causal Models with Deterministic Relationscited by 4
- 2022A Direct Approximation of AIXI Using Logical State Abstractionscited by 2
- 2023Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processescited by 2
- 2021Transfer Learning for Node Regression Applied to Spreading Predictioncited by 1
- 2021A purely data-driven framework for prediction, optimization, and control of networked processes: application to networked SIS epidemic modelcited by 1
- 2022Transmission Neural Networks: From Virus Spread Models to Neural Networkscited by 1
- 2023Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classificationcited by 1
- 2024Privacy Preserving Reinforcement Learning for Population Processescited by 1
- 2023Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inferencecited by 0
- 2023Hypergraph Echo State Networkcited by 0
- 2023Dynamic Knowledge Injection for AIXI Agentscited by 0
12 most cited of 14 All 14 (JSON)
- 2026Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning19 Mar 2026
- 2025Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control18 Jun 2025
- 2024Privacy Preserving Reinforcement Learning for Population Processes25 Jun 2024
- 2023Dynamic Knowledge Injection for AIXI Agents18 Dec 2023
- 2023Hypergraph Echo State Network16 Oct 2023
- 2023Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification3 Jul 2023
- 2023Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference30 Jun 2023
- 2023Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes1 Apr 2023
- 2022A Direct Approximation of AIXI Using Logical State Abstractions13 Oct 2022
- 2022Transmission Neural Networks: From Virus Spread Models to Neural Networks7 Aug 2022
- 2022Towards Digital Twin Oriented Modelling of Complex Networked Systems and Their Dynamics: A Comprehensive Survey15 Feb 2022
- 2021Causal Discovery in Linear Structural Causal Models with Deterministic Relations30 Oct 2021
12 newest of 14 All 14 (JSON)