
Generalized threshold-based epidemics in random graphs: The power of extreme values
Bootstrap percolation is a well-known activation process in a graph, in which a node becomes active when it has at least r active neighbors. Such process, originally studied on regular structures, has been recently investigated also in the context of random graphs, where it can serve as a simple model for a wide variety of cascades, such as the spreading of ideas, trends, viral contents, etc. over large social networks. In particular, it has been shown that in G(n, p) the final active set can exhibit a phase transition for a sub-linear number of seeds.
On the micro-to-macro limit for first-order traffic flow models on networks
Connections between microscopic follow-the-leader and macroscopic fluid-dynamics traffic flow models are already well understood in the case of vehicles moving on a single road. Analogous connections in the case of road networks are instead lacking. This is probably due to the fact that macroscopic traffic models on networks are in general ill-posed, since the conservation of the mass is not sufficient alone to characterize a unique solution at junctions.
Gaussian approximation of nonlinear Hawkes processes
We give a general Gaussian bound for the first chaos (or innovation) of point processes with stochastic intensity constructed by embedding in a bivariate Poisson process. We apply the general result to nonlinear Hawkes processes, providing quantitative central limit theorems.
Confirming and improving post-Newtonian and effective-one-body results from self-force computations along eccentric orbits around a Schwarzschild bh
We analytically compute, through the six-and-a-half post-Newtonian order, the second-order-in-eccentricity piece of the Detweiler-Barack-Sago gauge-invariant redshift function for a small mass in eccentric orbit around a Schwarzschild black hole. Using the first law of mechanics for eccentric orbits [A. Le Tiec, First law of mechanics for compact binaries on eccentric orbits, Phys. Rev. D 92, 084021 (2015).] we transcribe our result into a correspondingly accurate knowledge of the second radial potential of the effective-one-body formalism [A. Buonanno and T.
Tailored multivariate analysis for modulated enhanced
Modulated enhanced diffraction (MED) is a technique allowing the dynamic
structural characterization of crystalline materials subjected to an external
stimulus, which is particularly suited for in situ and operando structural
investigations at synchrotron sources. Contributions from the (active) part of the
crystal system that varies synchronously with the stimulus can be extracted by an
offline analysis, which can only be applied in the case of periodic stimuli and
linear system responses. In this paper a new decomposition approach based on
multivariate analysis is proposed.





