Berlin 2018 – wissenschaftliches Programm
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
BP: Fachverband Biologische Physik
BP 39: Focus Session: Complex Contagion Phenomena II (joint session SOE/DY/BP)
BP 39.8: Vortrag
Freitag, 16. März 2018, 11:45–12:00, MA 001
Flockworks: A class of dynamic network models for face-to-face interactions — •Benjamin F. Maier1,2 and Dirk Brockmann1,3 — 1Robert Koch-Institut, Nordufer 20, 13353 Berlin — 2Institut für Physik, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin — 3Institut für Theoretische Biologie, Humboldt-Universität zu Berlin, Philippstr. 13, 10115 Berlin
Studying the dynamics of face-to-face interaction networks is essential for a better understanding of contact mediated processes, contagion processes, and disease spreading. In many studies regarding social systems, networks are reconstructed using time averages in which links reflect an interaction likelihood, although this measures serves as a qualitative feature from which network properties are computed. During the last years a significant effort was made to resolve this issue by developing algorithms to analyze dynamic processes on the actual time-dependent contact patterns of social systems. However, there is still a lack of simple dynamic network models generating temporal networks of typical behaviour observed in real systems.
We introduce a class of minimal dynamic network models that naturally yield group formation and are easy to control with a small number of parameters. We discuss a variety of properties of those models and show that they reflect the character of real-world temporal data as well as the properties of dynamic processes on this data remarkably well, up to the prediction of epidemic curves.