Zobrazeno 1 - 10
of 596
pro vyhledávání: '"Barrat Alain"'
Autor:
Cencetti, Giulia, Barrat, Alain
Surrogate networks can constitute suitable replacements for real networks, in particular to study dynamical processes on networks, when only incomplete or limited datasets are available. As empirical datasets most often present complex features and i
Externí odkaz:
http://arxiv.org/abs/2411.05477
Publikováno v:
EPJ Data Science 13: 50 (2024)
The richness of many complex systems stems from the interactions among their components. The higher-order nature of these interactions, involving many units at once, and their temporal dynamics constitute crucial properties that shape the behaviour o
Externí odkaz:
http://arxiv.org/abs/2402.06485
Publikováno v:
Nature Communications 15: 9954 (2024)
Temporal graphs are commonly used to represent time-resolved relations between entities in many natural and artificial systems. Many techniques were devised to investigate the evolution of temporal graphs by comparing their state at different time po
Externí odkaz:
http://arxiv.org/abs/2401.12843
Publikováno v:
J. Phys. A: Math. Theor. 57 435002 (2024)
Although many tools have been developed and employed to characterize temporal networks, the issue of how to compare them remains largely open. It depends indeed on what features are considered as relevant, and on the way the differences in these feat
Externí odkaz:
http://arxiv.org/abs/2310.09112
Publikováno v:
PLoS Comput Biol 20(6): e1012206 (2024)
Contagion processes, representing the spread of infectious diseases, information, or social behaviors, are often schematized as taking place on networks, which encode for instance the interactions between individuals. The impact of the network struct
Externí odkaz:
http://arxiv.org/abs/2309.10486
Publikováno v:
Journal of Complex Networks, Volume 12, Issue 2, April 2024, cnae004
Temporal networks are commonly used to represent dynamical complex systems like social networks, simultaneous firing of neurons, human mobility or public transportation. Their dynamics may evolve on multiple time scales characterising for instance pe
Externí odkaz:
http://arxiv.org/abs/2307.03840
Publikováno v:
Nature Communications 15: 7391 (2024)
Representing social systems as networks, starting from the interactions between individuals, sheds light on the mechanisms governing their dynamics. However, networks encode only pairwise interactions, while most social interactions occur among group
Externí odkaz:
http://arxiv.org/abs/2306.09967
Publikováno v:
Phys. Rev. Lett. 130, 247401 (2023)
Contagion processes on networks, including disease spreading, information diffusion, or social behaviors propagation, can be modeled as simple contagion, i.e. involving one connection at a time, or as complex contagion, in which multiple interactions
Externí odkaz:
http://arxiv.org/abs/2301.09407
Publikováno v:
Phys. Rev. E 107:024301 (2023)
Temporal networks of face-to-face interactions between individuals are useful proxies of the dynamics of social systems on fast time scales. Several empirical statistical properties of these networks have been shown to be robust across a large variet
Externí odkaz:
http://arxiv.org/abs/2301.06828