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Clustering for epidemics on networks: A geometric approach
The simplex geometry of graphs
Tighter spectral bounds for the cut size, based on Laplacian eigenvectors
Nodal vulnerability to targeted attacks in power grids
Pseudoinverse of the Laplacian and best spreader node in a network
Unified mean-field framework for susceptible-infected-susceptible epidemics on networks, based on graph partitioning and the isoperimetric inequality
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