Berlin 2024 – wissenschaftliches Programm
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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 14: Focus Session: Dynamics of Socio-ecological Systems
SOE 14.6: Vortrag
Mittwoch, 20. März 2024, 12:50–13:05, MA 001
Complex Contagion in Socio-Ecological Network Systems — •Lukas Röhrich1,2, Fritz Kühlein1, and Jonathan Donges1,3 — 1Potsdam Institute for Climate Impact Research, Germany, EU — 2Humboldt University of Berlin, Germany, EU — 3Stockholm Resilience Center, Sweden
The acceptance of the Anthropocene as the current geological epoch opens up new areas to our understanding of the influence of a social "world" system on the ecological "earth" system. As a highly evolved species, for example, we humans are capable of especially complex behavioral patterns. Evidently, these behaviors are influenced by and influence the ecosystem around us. A modern tool for investigating this feedback between the world and the earth system is complex contagion analysis on socio-ecological networks. This approach describes social systems as adaptive networks where the vertices, representing households, cities, etc., and edges, representing social circles, cultural exchange, etc., are influenced by their social environment as well as their biophysical environment. In this talk we want to present the tool of complex contagion analysis together with two application examples. First, the general Dodds-Watts model which brings complexity to contagion simulations by incorporating individual memory of exposure, variable magnitudes of exposure and heterogeneity in the susceptibility of individuals (P.Dodds and D.Watts, 2005). Second, the more applied MayaSim model, which aims to identify candidate features of resilient versus vulnerable socio-ecological systems, using the ancient Maya as an example (S.Heckbert, 2013).
Keywords: complex contagion; contagion analysis; adaptive networks; network model; agent based modeling