Speaker
Jari Saramäki
(Aalto University)
Description
In temporal networks, where nodes are
connected through sequences of temporary
events, information or resources can only
flow through paths that follow their timeordering.
The properties of these temporal paths play a crucial role
in dynamic processes: consider, e.g., simple SI spreading
dynamics, whose speed is determined by the time it takes to
complete such paths. I will discuss temporal path lengths
and distances, their measurement, and their relationship to
static graph distances. With the help of time-domain null
models, one can also measure the effects of temporal
correlations and heterogeneities, such as burstiness, on
temporal distances and spreading processes. These effects
may be very different: in human communication networks,
temporal heterogeneities are seen to increase temporal
distances and slow down spreading dynamics, whereas in an
air transport network their effect is the opposite.
