mlsanityData to 7 Oct 2026

Epidemic processes in complex networks

arXiv 1408.2701 ↗First posted 12 Aug 2014physics.soc-ph cond-mat.stat-mech cs.SIcited by 57

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Abstract (arXiv)

In recent years the research community has accumulated overwhelming evidence for the emergence of complex and heterogeneous connectivity patterns in a wide range of biological and sociotechnical systems. The complex properties of real-world networks have a profound impact on the behavior of equilibrium and nonequilibrium phenomena occurring in various systems, and the study of epidemic spreading is central to our understanding of the unfolding of dynamical processes in complex networks. The theoretical analysis of epidemic spreading in heterogeneous networks requires the development of novel analytical frameworks, and it has produced results of conceptual and practical relevance. A coherent and comprehensive review of the vast research activity concerning epidemic processes is presented, detailing the successful theoretical approaches as well as making their limits and assumptions clear. Physicists, mathematicians, epidemiologists, computer, and social scientists share a common interest in studying epidemic spreading and rely on similar models for the description of the diffusion of pathogens, knowledge, and innovation. For this reason, while focusing on the main results and the paradigmatic models in infectious disease modeling, the major results concerning generalized social contagion processes are also presented. Finally, the research activity at the forefront in the study of epidemic spreading in coevolving, coupled, and time-varying networks is reported.

Key facts. Cited by 57 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Aug 2014.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 9; 2022: 7; 2023: 7; 2024: 7; 2025: 8; 2026: 19.

57 papers.

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  1. 2023Human-AI Coevolutioncited by 27
  2. 2024Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspectivecited by 16
  3. 2021Machine learning dismantling and early-warning signals of disintegration in complex systemscited by 14
  4. 2022Learning Sparse Graphon Mean Field Gamescited by 14
  5. 2026From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaborationcited by 13
  6. 2022A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learningcited by 12
  7. 2024Complex systems approach to natural languagecited by 12
  8. 2021Estimating the State of Epidemics Spreading with Graph Neural Networkscited by 9
  9. 2021Modeling and forecasting Spread of COVID-19 epidemic in Iran until Sep 22, 2021, based on deep learningcited by 5
  10. 2021A Bayesian generative neural network framework for epidemic inference problemscited by 4
  11. 2022FrozenQubits: Boosting Fidelity of QAOA by Skipping Hotspot Nodescited by 4
  12. 2024Learning Interpretable Network Dynamics via Universal Neural Symbolic Regressioncited by 4
38 more
  1. 2025Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreakcited by 4
  2. 2026PhysicsAgentABM: Physics-Guided Generative Agent-Based Modelingcited by 3
  3. 2021Fair Disaster Containment via Graph-Cut Problemscited by 2
  4. 2022A Direct Approximation of AIXI Using Logical State Abstractionscited by 2
  5. 2023Zoo Guide to Network Embeddingcited by 2
  6. 2023A Graph Dynamics Prior for Relational Inferencecited by 2
  7. 2023Influential Simplices Mining via Simplicial Convolutional Networkcited by 2
  8. 2024Neural Symbolic Regression of Complex Network Dynamicscited by 2
  9. 2026DynaTrust: Defending Multi-Agent Systems Against Sleeper Agents via Dynamic Trust Graphscited by 2
  10. 2026Contagion Networks: Evaluator Preference Propagation in Multi-Agent LLM Systemscited by 2
  11. 2021A Reputation Game Simulation: Emergent Social Phenomena from Information Theorycited by 1
  12. 2021Simulation of emergence in artificial societies: a practical model-based approach with the EB-DEVS formalismcited by 1
  13. 2022Transmission Neural Networks: From Virus Spread Models to Neural Networkscited by 1
  14. 2024Privacy Preserving Reinforcement Learning for Population Processescited by 1
  15. 2025Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Studycited by 1
  16. 2026Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking Systemcited by 1
  17. 2021Influence Estimation and Maximization via Neural Mean-Field Dynamicscited by 0
  18. 2021An adaptation of InfoMap to absorbing random walks using absorption-scaled graphscited by 0
  19. 2022Controlling Epidemic Spread using Probabilistic Diffusion Models on Networkscited by 0
  20. 2022Evolution of beliefs in social networkscited by 0
  21. 2023Questions of science: chatting with ChatGPT about complex systemscited by 0
  22. 2023Skipper: Improving the Reach and Fidelity of Quantum Annealers by Skipping Long Chainscited by 0
  23. 2023Dynamic Knowledge Injection for AIXI Agentscited by 0
  24. 2024Motif distribution and function of sparse deep neural networkscited by 0
  25. 2024Efficient PAC Learnability of Dynamical Systems Over Multilayer Networkscited by 0
  26. 2025A Multimodal Framework for Topic Propagation Classification in Social Networkscited by 0
  27. 2025Network Alignmentcited by 0
  28. 2025Understanding Malware Propagation Dynamics through Scientific Machine Learningcited by 0
  29. 2025Deep learning framework for predicting stochastic take-off and die-out of early spreadingcited by 0
  30. 2025Learning Multi-Order Block Structure in Higher-Order Networkscited by 0
  31. 2025Networked Restless Multi-Arm Bandits with Reinforcement Learningcited by 0
  32. 2026On the Nonasymptotic Scaling Guarantee of Hyperparameter Estimation in Inhomogeneous, Weakly-Dependent Complex Network Dynamical Systemscited by 0
  33. 2026The Powers of Precision: Structure-Informed Detection in Complex Systems -- From Customer Churn to Seizure Onsetcited by 0
  34. 2026Large language models for spreading dynamics in complex systemscited by 0
  35. 2026Predicting Dynamics of Ultra-Large Complex Systems by Inferring Governing Equationscited by 0
  36. 2026TopFeaRe: Locating Critical State of Adversarial Resilience for Graphs Regarding Topology-Feature Entanglementcited by 0
  37. 2026Epidemiology of Model Collapse: Modeling Synthetic Data Contamination via Bilayer SIR Dynamicscited by 0
  38. 2026Simulating Hate Speech Cascades with Multi-LLM Agents: Empirical Grounding, Modeling Fidelity, and Intervention Strategiescited by 0

50 most cited of 57 All 57 (JSON)