We consider a procedure for generating clustered networks previously reported by Newman (M.E.J. Newman, Phys. Rev. E 68, 026121 (2003)). In the same study, clustered networks generated according to the proposed model, have been reported to have a lower epidemic threshold under SIR-type network epidemic dynamics. By rewiring networks generated by this model, such that the degree distribution is conserved, we show that the lower epidemic threshold can be closely reproduced by rewired networks with close to zero clustering. The reported lower epidemic threshold, can be explained by different degree distributions observed in the networks corresponding to different levels of clustering. Clustering results in networks with high levels of heteroge...
Erik M. Volz is with University of Michigan, Joel C. Miller is with Harvard University and the Natio...
We consider a procedure for generating clustered networks previously reported by Newman (M.E.J. Newm...
We develop a theoretical approach to percolation in random clustered networks. We find that, althoug...
We consider a procedure for generating clustered networks previ-ously reported by Newman (M.E.J. New...
We consider previously proposed procedures for generating clustered networks and investigate how the...
We consider previously proposed procedures for generating clustered networks and investigate how the...
Clustering is typically measured by the ratio of triangles to all triples regardless of whether open...
We consider previously proposed procedures for generating clustered networks and investigate how the...
Realistic human contact networks capable of spreading infectious disease, for example studied in soc...
Networks provide a mathematically rich framework to represent social contacts sufficient for the tra...
AbstractClustering is typically measured by the ratio of triangles to all triples regardless of whet...
Clustering is the propensity of nodes that share a common neighbour to be connected. It is ubiquitou...
AbstractClustering is typically measured by the ratio of triangles to all triples regardless of whet...
It is now well appreciated that population structure can have a major impact on disease dynamics, ou...
Erik M. Volz is with University of Michigan, Joel C. Miller is with Harvard University and the Natio...
Erik M. Volz is with University of Michigan, Joel C. Miller is with Harvard University and the Natio...
We consider a procedure for generating clustered networks previously reported by Newman (M.E.J. Newm...
We develop a theoretical approach to percolation in random clustered networks. We find that, althoug...
We consider a procedure for generating clustered networks previ-ously reported by Newman (M.E.J. New...
We consider previously proposed procedures for generating clustered networks and investigate how the...
We consider previously proposed procedures for generating clustered networks and investigate how the...
Clustering is typically measured by the ratio of triangles to all triples regardless of whether open...
We consider previously proposed procedures for generating clustered networks and investigate how the...
Realistic human contact networks capable of spreading infectious disease, for example studied in soc...
Networks provide a mathematically rich framework to represent social contacts sufficient for the tra...
AbstractClustering is typically measured by the ratio of triangles to all triples regardless of whet...
Clustering is the propensity of nodes that share a common neighbour to be connected. It is ubiquitou...
AbstractClustering is typically measured by the ratio of triangles to all triples regardless of whet...
It is now well appreciated that population structure can have a major impact on disease dynamics, ou...
Erik M. Volz is with University of Michigan, Joel C. Miller is with Harvard University and the Natio...
Erik M. Volz is with University of Michigan, Joel C. Miller is with Harvard University and the Natio...
We consider a procedure for generating clustered networks previously reported by Newman (M.E.J. Newm...
We develop a theoretical approach to percolation in random clustered networks. We find that, althoug...