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2021

Mean Field Analysis of Hypergraph Contagion Model

Higham, Desmond J., de Kergorlay, Henry-Louis

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We typically interact in groups, not just in pairs.

For this reason, it has recently been proposed that the spread of information, opinion or disease should be modelled over a hypergraph rather than a standard graph.
The use of hyperedges naturally allows for a nonlinear rate of transmission, in terms of both the group size and the number of infected group members, as is the case, for example, when social distancing is encouraged.
We consider a general class of individual-level, stochastic, susceptible-infected-susceptible models on a hypergraph, and focus on a mean field approximation proposed in [Arruda et al., Phys.

Mean Field Analysis of Hypergraph Contagion Model · Around

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