Decelerated spreading in degree-correlated networks
Physics and Society
2013-05-30 v2 Computational Physics
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 -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.
Cite
@article{arxiv.0909.3817,
title = {Decelerated spreading in degree-correlated networks},
author = {Markus Schläpfer and Lubos Buzna},
journal= {arXiv preprint arXiv:0909.3817},
year = {2013}
}