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SUMMARY:The dynamic nature of percolation on networks with triadic interac
 tions.
DTSTART:20260323T143000Z
DTEND:20260323T163000Z
DTSTAMP:20260513T002200Z
UID:indico-event-9622@indico.fysik.su.se
DESCRIPTION:Speakers: Hanlin Sun (WINQ)\n\nPercolation establishes the con
 nectivity of complex networks and is one of the most fundamental critical 
 phenomena for the study of complex systems. On simple networks\, percolati
 on displays a second-order phase transition\; on multiplex networks\, the 
 percolation transition can become discontinuous. However\, little is known
  about percolation in networks with higher-order interactions. Here\, we s
 how that percolation can be turned into a fully fledged dynamical process 
 when higher-order interactions are taken into account. By introducing sign
 ed triadic interactions\, in which a node can regulate the interactions be
 tween two other nodes\, we define triadic percolation. We uncover that in 
 this paradigmatic model the connectivity of the network changes in time an
 d that the order parameter undergoes a period doubling and a route to chao
 s. We provide a general theory for triadic percolation which accurately pr
 edicts the full phase diagram on random graphs as confirmed by extensive n
 umerical simulations. We find that triadic percolation on real network top
 ologies reveals a similar phenomenology. These results radically change ou
 r understanding of percolation and may be used to study complex systems in
  which the functional connectivity is changing in time dynamically and in 
 a non-trivial way\, such as in neural and climate networks.\nReferences:\n
 Sun\, Hanlin\, et al. "The dynamic nature of percolation on networks with 
 triadic interactions." Nature Communications 14.1 (2023): 1308.\nSun\, Han
 lin\, Filippo Radicchi\, and Ginestra Bianconi. "Triadic percolation on mu
 ltilayer networks." Physical Review E 113.1 (2026): 014313.\nMillán\, A
 na P.\, Hanlin Sun\, and Joaquín J. Torres. "Spatio-temporal activity pat
 terns induced by triadic interactions in an in silico neural medium." Jou
 rnal of Physics: Complexity 6.1 (2025): 015017.\n \nzoom : https://stockh
 olmuniversity.zoom.us/j/622224375\n\nhttps://indico.fysik.su.se/event/9622
 /
URL:https://indico.fysik.su.se/event/9622/
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