Berlin 2018 – wissenschaftliches Programm
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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 7: Poster
SOE 7.10: Poster
Montag, 12. März 2018, 17:00–20:00, Poster E
Interactive dynamics vs. bursty networks — Ebrahim Sajjadi1, •Fakhteh Ghanbarnejad3, Mohammad Reza Ejtehadi1,2, and Fariba Karimi4,5 — 1Department of Physics, Sharif University of Technology, P.O. Box 11155-9161, Tehran 1458889694, Iran. — 2Center of Excellence in Complex Systems and Condensed Matter (CSCM), Sharif University of Technology, Tehran 1458889694, Iran. — 3Institut für Theoretische Physik, Technische Universität Berlin, Berlin, Germany — 4University of Koblenz, Landau, Germany — 5GESIS, Leibniz Institute for the Social Sciences, Germany
SIS and SIR are common models for describing and predicting the epidemics of the contagious diseases. But these models fail to predict well patterns of spreading dynamics in the case of co-infective diseases, i.e. getting infected by one disease, alters the chance of getting infected by the other one. Co-infection has been studied in the mean field approximation and on complex networks with different topologies [EPL 104 50001 (2013), Nature Physics 11, 936_940 (2015)]. Another study shows temporal correlations of the underlying transmission network, e.g. hospital network, play role on co-infection dynamics [Frontiers in Physics, V 5, P 46 (2017)]. Here we go one step further and study the interplay between burstiness of the temporal networks and different time scales of co-infective dynamics. We show that whithin which range of burstiness, co-infection can effectively spread.