Social networked phenomena, like group formation, communication, and the emergence of hierarchies, are hard to quantify and predict. Here we’ll show that simple mathematical models, despite ignoring features of real-world sociality, are good at uncovering underlying mechanisms of interaction and statistical regularities of collective behaviour. Such statistical laws emerge from the dynamical interplay of mechanisms and showcase generic patterns of segregation, heterogeneity, and stability across societies. We’ll focus on the universalities these models reveal and what they tell us about humans off- and online.
References:
A. Asikainen et al. Sci. Adv. 6, eaax7310 (2020). https://doi.org/10.1126/sciadv.aax7310
G. Iñiguez et al. Nat. Comm. 13, 1646 (2022). https://doi.org/10.1038/s41467-022-29256-x
G. Iñiguez et al. Nat. Comm. 14, 5217 (2023). https://doi.org/10.1038/s41467-023-40888-5
This IFISC Seminar will be broadcasted in the following zoom link: https://us06web.zoom.us/j/89027654460?pwd=Wg9TYMPqqP2ipfj2JVvEagmzaTw29c.1
Coffee and cookies will be served 15 minutes before the start of the seminar
Detalles de contacto:
Tobias Galla Contact form