Diffusion in Colocation Contact Networks: The Impact of Nodal Spatiotemporal Dynamics.

ABSTRACT: Temporal contact networks are studied to understand dynamic spreading phenomena such as communicable diseases or information dissemination. To establish how spatiotemporal dynamics of nodes impact spreading potential in colocation contact networks, we propose "inducement-shuffling" null models which break one or more correlations between times, locations and nodes. By reconfiguring the time and/or location of each node's presence in the network, these models induce alternative sets of colocation events giving rise to contact networks with varying spreading potential. This enables second-order causal reasoning about how correlations in nodes' spatiotemporal preferences not only lead to a given contact network but ultimately influence the network's spreading potential. We find the correlatio

SUBMITTER: Thomas B 

PROVIDER: S-EPMC4976975 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature