Zobrazeno 1 - 10
of 283
pro vyhledávání: '"Vito Latora"'
Autor:
Federico Malizia, Alessandra Corso, Lucia Valentina Gambuzza, Giovanni Russo, Vito Latora, Mattia Frasca
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract Higher-order interactions play a key role for the operation and function of a complex system. However, how to identify them is still an open problem. Here, we propose a method to fully reconstruct the structural connectivity of a system of c
Externí odkaz:
https://doaj.org/article/d5614c69506c4a0e945530012c682a18
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-7 (2024)
Abstract Many real-world complex systems are characterized by interactions in groups that change in time. Current temporal network approaches, however, are unable to describe group dynamics, as they are based on pairwise interactions only. Here, we u
Externí odkaz:
https://doaj.org/article/9e826de259704d749cc76c19434b16ab
Publikováno v:
EPJ Data Science, Vol 12, Iss 1, Pp 1-16 (2023)
Abstract Decentralization is a pervasive concept found across disciplines, including Economics, Political Science, and Computer Science, where it is used in distinct yet interrelated ways. Here, we develop and publicly release a general pipeline to i
Externí odkaz:
https://doaj.org/article/a4631982c8f746f1aed2fae0139d9182
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Here the authors introduce dual communities, characterized by strong connections at their boundaries, and show that they are formed as a trade-off between efficiency and resilience in supply networks.
Externí odkaz:
https://doaj.org/article/6bb78b02e8954a45baeee07caa0f5085
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-18 (2022)
Systemic risk and bank bailout approaches have been the source of discussions on scientific, financial and governmental forums. An artificial intelligence technique is proposed to inform equitable bailout decisions that minimise taxpayers’ losses.
Externí odkaz:
https://doaj.org/article/5c7c1ef1c6444e4d9218f42f452ab687
Autor:
Luca Gallo, Riccardo Muolo, Lucia Valentina Gambuzza, Vito Latora, Mattia Frasca, Timoteo Carletti
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-11 (2022)
There is increasing evidence that many higher-order interactions in complex systems are directed. Here, the authors provide a tensorial formalism for directed hypergraphs and investigate their synchronization properties generalizing the Master Stabil
Externí odkaz:
https://doaj.org/article/c8f78c79e52e471f8d799dab7b2fbab3
Autor:
Elisabetta Sciacca, Anna E. A. Surace, Salvatore Alaimo, Alfredo Pulvirenti, Felice Rivellese, Katriona Goldmann, Alfredo Ferro, Vito Latora, Costantino Pitzalis, Myles J. Lewis
Publikováno v:
Arthritis Research & Therapy, Vol 24, Iss 1, Pp 1-14 (2022)
Abstract Background To determine whether gene-gene interaction network analysis of RNA sequencing (RNA-Seq) of synovial biopsies in early rheumatoid arthritis (RA) can inform our understanding of RA pathogenesis and yield improved treatment response
Externí odkaz:
https://doaj.org/article/e0a65c61fe5740cdb09f8f6ab51d5801
Autor:
Caroline Di Bernardi Luft, Ioanna Zioga, Anastasios Giannopoulos, Gabriele Di Bona, Nicola Binetti, Andrea Civilini, Vito Latora, Isabelle Mareschal
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-15 (2022)
Friends making eye-contact have higher inter-brain synchronization than strangers. Eye-contact affects neural synchronization between brains more than within a brain, highlighting that eye-contact is an inherently social signal.
Externí odkaz:
https://doaj.org/article/fa604f01994a41aca3e3b3e8201808a7
Autor:
Guillaume St-Onge, Iacopo Iacopini, Vito Latora, Alain Barrat, Giovanni Petri, Antoine Allard, Laurent Hébert-Dufresne
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-16 (2022)
Group interactions can dramatically alter social contagion dynamics and lead to the emergence of new phenomena like abrupt transitions and critical mass effects. The authors develop an approximate master equation framework to analytically describe co
Externí odkaz:
https://doaj.org/article/1e157d6a7bc643c599ae929bb91d021c
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
The evolution of networks with structure changing in time is dependent on their past states and relevant to diffusion and spreading processes. The authors show that temporal network’s memory is described by multidimensional patterns at a microscopi
Externí odkaz:
https://doaj.org/article/ca85d0e1680a48c08e8700e60dfc1f34