title: Decelerated spreading in degree-correlated networks.
abstract: While degree correlations are known to play a crucial role for spreading phenomena in networks, their impact on the propagation speed has hardly been understood. Here we investigate a tunable spreading model on scale-free networks and show that the propagation becomes slow in positively (negatively) correlated networks if nodes with a high connectivity locally accelerate (decelerate) the propagation. Examining the efficient paths offers a coherent explanation for this result, while the k-core decomposition reveals the dependence of the nodal spreading efficiency on the correlation. Our findings should open new pathways to delicately control real-world spreading processes.
authors.affiliation: Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. schlmark@mit.edu
authors.forename: Markus
authors.initials: M
authors.lastname: Schläpfer
authors.forename: Lubos
authors.initials: L
authors.lastname: Buzna