38 citations · 58 across the 6 of their papers we have counts for
8 papers
Damping effect in innovation processes: case studies from Twitter
Giacomo Aletti, Irene Crimaldi
Understanding the innovation process, that is the underlying mechanisms through which novelties emerge, diffuse and trigger further novelties is undoubtedly of fundamental importan…
A model for the Twitter sentiment curve
Giacomo Aletti, Irene Crimaldi, Fabio Saracco
Twitter is among the most used online platforms for the political communications, due to the concision of its messages (which is particularly suitable for political slogans) and th…
Taylor's law in innovation processes
F. Tria, I. Crimaldi, G. Aletti +1
Taylor's law quantifies the scaling properties of the fluctuations of the number of innovations occurring in open systems. Urn based modelling schemes have already proven to be eff…
Interacting reinforced stochastic processes: statistical inference based on the weighted empirical means
Giacomo Aletti, Irene Crimaldi, Andrea Ghiglietti
This work deals with a system of interacting reinforced stochastic processes, where each process is located at a vertex of a finite weighted direct graph, and…
Likelihood test in permutations with bias. Premier League and La Liga: surprises during the last 25 seasons
Giacomo Aletti
In this paper, we introduce the models of permutations with bias, which are random permutations of a set, biased by some preference values. We present a new parametric test, togeth…
A clustering algorithm for multivariate data streams with correlated components
Giacomo Aletti, Alessandra Micheletti
Common clustering algorithms require multiple scans of all the data to achieve convergence, and this is prohibitive when large databases, with data arriving in streams, must be pro…