Infection curves on small-world networks are linear only in the vicinity of the critical point

DOI10.1073/pnas.2024297118zbMath1485.92137OpenAlexW3132588546WikidataQ128724295 ScholiaQ128724295MaRDI QIDQ5073286

Łukasz Kuśmierz, Taro Toyoizumi

Publication date: 5 May 2022

Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1073/pnas.2024297118

Mathematics Subject Classification ID

Epidemiology (92D30) Social networks; opinion dynamics (91D30) Small world graphs, complex networks (graph-theoretic aspects) (05C82)

Related Items (2)

Functional advantages of Lévy walks emerging near a critical point ⋮ Reply to Kuśmierz and Toyoizumi: A network-based explanation of why most COVID-19 infection curves are linear

Cites Work

• Epidemics with two levels of mixing
• Emergence of Scaling in Random Networks
• A network-based explanation of why most COVID-19 infection curves are linear
• Collective dynamics of ‘small-world’ networks

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