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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 5: Award Session: Young Scientist Award for Socio- and Econophysics (YSA)

SOE 5.2: Preisträgervortrag

Montag, 18. März 2024, 17:00–17:45, MA 001

Information and Infections Dynamics in Social Networks — •Viola Priesemann — Max Planck Institute for Dynamics and Self-Organization — Georg August University Göttingen

Both information and misinformation spread impact societal dynamics. However, the mechanisms and extent are unclear. To study the impact of information spread on contact behavior, the recent pandemic provided a prime data set. In a model, we show that complex, even chaotic infection dynamics can emerge if one assumes that the population reacts to high case numbers by mitigating the spread of the disease, and vice versa. Interestingly, this novel, complex endemic regime can optimize the cost of mitigation and infections, pointing to its relevance for endemic disease dynamics. In addition, we analyzed the information spread in our Telegram dataset (2.4 billion messages). The different channels were clearly clustered, and the topics and message frequencies showed pronounced relations to pandemic events. Together, these studies provide a novel window into the entangled dynamics of information spread, opinion and human behavior.

Keywords: Social dynamics; epidemiology; chaos; non-linear dynamics; social networks