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20012023
most citedSearch for heavy neutral lepton production in decays to positrons

82 citations · 297 across the 35 of their papers we have counts for

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cs.SI2023★ 1 cited

Modeling communication asymmetry and content personalization in online social networks

Franco Galante, Luca Vassio, Michele Garetto +1

The increasing popularity of online social networks (OSNs) attracted growing interest in modeling social interactions. On online social platforms, a few individuals, commonly refer…

cs.SI2021

Asynchronous semi-anonymous dynamics over large-scale networks

Chiara Ravazzi, Giacomo Como, Michele Garetto +2

We analyze a class of stochastic processes, referred to as asynchronous and semi-anonymous dynamics (ASD), over directed labeled random networks. These processes are a natural tool…

cs.SI2019

Opinion Dynamics on Correlated Subjects in Social Networks

Alessandro Nordio, Alberto Tarable, Carla Fabiana Chiasserini +1

Understanding the evolution of collective beliefs is of critical importance to get insights on the political trends as well as on social tastes and opinions. In particular, it is p…

cs.SI2017★ 19 cited

Belief Dynamics in Social Networks: A Fluid-Based Analysis

Alessandro Nordio, Alberto Tarable, Carla Fabiana Chiasserini +1

The advent and proliferation of social media have led to the development of mathematical models describing the evolution of beliefs/opinions in an ecosystem composed of socially in…

cs.SI2016

Generalized threshold-based epidemics in random graphs: the power of extreme values

Michele Garetto, Emilio Leonardi, Giovanni Luca Torrisi

Bootstrap percolation is a well-known activation process in a graph, in which a node becomes active when it has at least active neighbors. Such process, originally studied on r…

cs.SI2015

Impact of Clustering on the Performance of Network De-anonymization

C. F Chiasserini, M. Garetto, E. Leonardi

Recently, graph matching algorithms have been successfully applied to the problem of network de-anonymization, in which nodes (users) participating to more than one social network…