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X-WR-CALNAME:Namur Institute For Complex Systems
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DTSTART;TZID=Europe/Brussels:20250228T130000
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SUMMARY:Thomas Robiglio (IT-U University\, Linz)
DESCRIPTION:Title : Mechanisms and behaviors in complex systems with group interactions \nAbstract : \n\n\n\nThe interplay between causal mechanisms and emerging collective behaviors is a central aspect of understanding\, controlling\, and predicting complex networked systems. \nExisting methods to study each of the two facets mostly adopt lower-order descriptions: pairwise network representations for mechanisms\, and low-order information-theoretic metrics for behaviors. Despite their success\, these low-order methods often fail to fully capture the intricate nuances inherent to many complex systems\, thus beyond-pairwise methods are being developed: higher-order network representations and higher-order behavorial metrics. \nAs both low-order and higher-order mechanisms can determine the observation of both low and higher-order behaviors\, the connection between behavioral observables and microscopic mechanisms in systems with pairwise and group interactions is not trivial; a systematic investigation of this complex relationship across different orders of interactions is needed. \nIn this talk\, I will present recent work exploring the link between higher-order mechanisms and higher-order behavioral observables in two representative models with group interactions: a simplicial Ising model and a social contagion model. Our findings reveal that group (higher-order) interactions give rise to emergent synergistic (higher-order) behaviors in both systems. \nFinally\, I will argue that fully disentangling behaviors and mechanisms in complex systems—especially those with group interactions—requires principled approaches based on generative models and statistical inference. \nREFERENCES: \n\nRobiglio\, T.\, Neri\, M.\, Coppes\, D.\, Agostinelli\, C.\, Battiston\, F.\, Lucas\, M.\, & Petri\, G. (2024). Synergistic signatures of group mechanisms in higher-order systems. arXiv preprint arXiv:2401.11588.\nPeel\, L.\, Peixoto\, T. P.\, & De Domenico\, M. (2022). Statistical inference links data and theory in network science. Nature Communications\, 13(1)\, 6794.\n\n\n\n\n\n\n\nThe seminar will take place in Room S08 at the Faculty of Sciences.
URL:https://www.naxys.be/event/thomas-robiglio-ceu-university/
CATEGORIES:NAXYS Seminar
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