Data from: Indirect interactions influence contact network structure and diffusion dynamics

Interaction patterns at the individual level influence the behaviour of
diffusion over contact networks. Most of the current diffusion models only
consider direct interactions, capable of transferring infectious items
among individuals, to build transmission networks of diffusion. However,
delayed indirect interactions, where a susceptible individual interacts
with infectious items after the infected individual has left the
interaction space, can also cause transmission events. We define a
diffusion model called the same place different time transmission (SPDT)
based diffusion that considers transmission links for these indirect
interactions. Our SPDT model changes the network dynamics where the
connectivity among individuals varies with the decay rates of link
infectivity. We investigate SPDT diffusion behaviours by simulating
airborne disease spreading on data-driven contact networks. The SPDT model
significantly increases diffusion dynamics with a high rate of disease
transmission. By making the underlying connectivity denser and stronger
due to the inclusion of indirect transmissions, SPDT models are more
realistic than SPST models for the study of various airborne diseases
outbreaks. Importantly, we also find that the diffusion dynamics including
indirect links are not reproducible by the current SPST models based on
direct links, even if both SPDT and SPST networks assume the same
underlying connectivity. This is because the transmission dynamics of
indirect links are different from those of direct links. These outcomes
highlight the importance of the indirect links for predicting outbreaks of
airborne diseases.