Zobrazeno 1 - 10
of 956
pro vyhledávání: '"Artime A"'
Autor:
Visco, Giorgio Vittorio, Artime, Oriol, Nauta, Johannes, Scagliarini, Tomas, De Domenico, Manlio
A broad class of systems, including ecological, epidemiological, and sociological ones, are characterized by populations of individuals assigned to specific categories, e.g., a chemical species, an opinion or an epidemic state, that are modeled as co
Externí odkaz:
http://arxiv.org/abs/2404.11366
Autor:
Artime, Oriol, Benigni, Barbara, Bertagnolli, Giulia, d'Andrea, Valeria, Gallotti, Riccardo, Ghavasieh, Arsham, Raimondo, Sebastian, De Domenico, Manlio
Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the past decade, multilayer network science -- the branch of the field dealing with units interacting in multiple distinct ways, si
Externí odkaz:
http://arxiv.org/abs/2401.04589
Publikováno v:
Journal of Physics: Complexity, 4 04LT01 (2023)
The self-avoiding random walk (SARW) is a stochastic process whose state variable avoids returning to previously visited states. This non-Markovian feature has turned SARWs a powerful tool for modelling a plethora of relevant aspects in network scien
Externí odkaz:
http://arxiv.org/abs/2310.03203
Autor:
Joaquín Artime Pinilla
Publikováno v:
ANIAV, Iss 15, Pp 61-72 (2024)
Buena nueva es la pieza galardonada con el Premio de Adquisición de la edición de arte público de la Biennal de Mislata Miquel Navarro 2022. En este artículo se realiza un análisis teórico-creativo de esta intervención artística que toma una
Externí odkaz:
https://doaj.org/article/c26295418003416081bd1e8009d3036a
Autor:
Artime, Oriol
The state of many physical, biological and socio-technical systems evolves by combining smooth local transitions and abrupt resetting events to a set of reference values. The inclusion of the resetting mechanism not only provides the possibility of m
Externí odkaz:
http://arxiv.org/abs/2211.01869
Publikováno v:
Chaos, Solitons & Fractals 165 (2022) 112759
In recent years, statistical physics' methodologies have proven extremely successful in offering insights into the mechanisms that govern social interactions. However, the question of whether these models are able to capture trends observed in real-w
Externí odkaz:
http://arxiv.org/abs/2210.15286
Autor:
Rachel S. Newson, Erik Spaepen, Birong Liao, Julie Bower, Indranil Bhattacharya, Esther Artime, William Polonsky
Publikováno v:
BMC Primary Care, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background The purpose of this study was to understand the healthcare provider (HCP) perspective on the extent of suboptimal insulin dosing in people with diabetes (PwD), as well as specific challenges and solutions to insulin management. Me
Externí odkaz:
https://doaj.org/article/a3861e1f049044a190b343b7e5ed4144
Autor:
Artime, Oriol, De Domenico, Manlio
Publikováno v:
Phil. Trans. R. Soc. A. 380:20200410 (2022)
When a large number of similar entities interact among each other and with their environment at a low scale, unexpected outcomes at higher spatio-temporal scales might spontaneously arise. This nontrivial phenomenon, known as emergence, characterizes
Externí odkaz:
http://arxiv.org/abs/2205.11595
Publikováno v:
Physical Review E, 105, 044126 (2022)
Localized perturbations in a real-world network have the potential to trigger cascade failures at the whole system level, hindering its operations and functions. Standard approaches analytically tackling this problem are mostly based either on static
Externí odkaz:
http://arxiv.org/abs/2204.08407
Autor:
Patriarca, Riccardo, Simone, Francesco, Artime, Oriol, Saurin, Tarcisio Abreu, Fogliatto, Flávio Sanson
Publikováno v:
In Reliability Engineering and System Safety November 2024 251