A different small network of nodes has an asymmetric double-star shape: hub is joined…

PHYSICS · Multi-part · Fermi University Physics · Thermal, Statistical & Complex Systems · Complex and collective systems · Complex and collective systems

Many Parts, One Behaviour, Ch Epidemics on networks

Problem

A different small network of N=20N=20 nodes has an asymmetric double-star shape: hub AA is joined to 1515 leaf nodes and to hub BB; hub BB is joined to 33 leaf nodes and to hub AA. Every leaf has degree 11, hub AA has degree 1616 and hub BB has degree 44. ((a)) Using the degree sequence and the tree-like bond-percolation argument built on the giant-component condition of the random-graph chapter, compute Tc=⟨k⟩/(⟨k2⟩−⟨k⟩)T_{\rm c} = \langle k\rangle/(\langle k^2\rangle - \langle k\rangle), the SIR threshold of a large configuration-model network with the same proportions of degrees (a comparison value, not a threshold of the pictured 2020-node graph). ((b)) Compute the heterogeneous mean-field SIS threshold λc=⟨k⟩/⟨k2⟩\lambda_{\rm c} = \langle k\rangle/\langle k^2\rangle. ((c)) Set up the adjacency eigenvector equation for leaves and hubs (as for the symmetric eigenvalue problem on A\mathbf{A}), reduce it to a quadratic in κ2\kappa^2, and hence find the quenched SIS threshold λc=1/κ1\lambda_{\rm c} = 1/\kappa_1. ((d)) State in one sentence how the gap between (b) and (c) compares here with a symmetric double star of the same total leaf count split evenly between the hubs, and which of the two SIS theories overstates how easily the infection persists.

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