Pandemic spread in communities via random graphs

DOI10.1088/1742-5468/ac3415OpenAlexW3211893735MaRDI QIDQ5860335

Dor Minzer, Yaron Oz, Shmuel Safra, Lior Wainstain

Publication date: 19 November 2021

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.05354

zbMATH Keywords

stochastic processesnetworksrandom graphs

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Related Items (1)

Multivariate generating functions for information spread on multi-type random graphs

Cites Work

• Percolation on dense graph sequences
• Statistical mechanics of complex networks
• Giant Component in Random Multipartite Graphs with Given Degree Sequences
• Superspreaders and high variance infectious diseases
• A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2
• The Phase Transition in Multitype Binomial Random Graphs
• Heterogeneity and superspreading effect on herd immunity
• Galton–Watson and branching process representations of the normalized Perron–Frobenius eigenvector
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