Dresden 2017 – wissenschaftliches Programm
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BP: Fachverband Biologische Physik
BP 50: Networks: From Topology to Dynamics I (Joint Session SOE/DY/BP)
BP 50.8: Vortrag
Donnerstag, 23. März 2017, 11:45–12:00, GÖR 226
Epidemic threshold in temporally-switching networks — Leo Speidel1, •Konstantin Klemm2,3, Victor M. Eguiluz2, and Naoki Masuda4 — 1University of Oxford, UK — 2IFISC, Palma, Spain — 3Nazarbayev University, Astana, Kazakhstan — 4University of Bristol, UK
Data of physical contacts and face-to-face communications suggest temporally
varying networks as the media on which infections take place among humans and
animals. Epidemic processes on temporal networks are complicated by complexity of
both network structure and temporal dimensions. We develop a theory to understand
the susceptible-infected-susceptible epidemic model on arbitrary temporal
networks, where each contact is used for a finite duration. We show that
temporality of networks always lessens the epidemic threshold such that infections
persist more easily in temporal networks than in their static
counterparts [1]. The effect of temporality on the epidemic threshold, which
depends on a data set, is approximately predicted by the magnitude of a commutator
norm.
[1] Speidel, Klemm, Eguíluz & Masuda, New J Phys 18, 073013 (2016).