activity
20122026
most citedThe Statistical Physics of Real-World Networks

390 citations · 1.8k across the 44 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.SI2021★ 39 cited

Brexit and bots: characterizing the behaviour of automated accounts on Twitter during the UK election

Matteo Bruno, Renaud Lambiotte, Fabio Saracco

Online Social Networks represent a novel opportunity for political campaigns, revolutionising the paradigm of political communication. Nevertheless, many studies uncovered the pres…

cs.SI2021

Italian Twitter semantic network during the Covid-19 epidemic

Mattia Mattei, Guido Caldarelli, Tiziano Squartini +1

The Covid-19 pandemic has had a deep impact on the lives of the entire world population, inducing a participated societal debate. As in other contexts, the debate has been the subj…

cs.SI2021★ 36 cited

Firms' Challenges and Social Responsibilities during Covid-19: a Twitter Analysis

Alessia Patuelli, Guido Caldarelli, Nicola Lattanzi +1

The Covid-19 pandemic caused disruptive effects for individuals, firms, and societies. In this paper, we offer insights on the major issues and challenges firms are facing in the C…

physics.soc-ph2021★ 283 cited

The Physics of Financial Networks

Marco Bardoscia, Paolo Barucca, Stefano Battiston +6

The field of Financial Networks is a paramount example of the novel applications of Statistical Physics that have made possible by the present data revolution. As the total value o…

cs.SI2021★ 32 cited

Networked partisanship and framing: a socio-semantic network analysis of the Italian debate on migration

Tommaso Radicioni, Tiziano Squartini, Elena Pavan +1

The huge amount of data made available by the massive usage of social media has opened up the unprecedented possibility to carry out a data-driven study of political processes. Whi…

physics.data-an2021★ 51 cited

Fast and scalable likelihood maximization for Exponential Random Graph Models with local constraints

Nicolò Vallarano, Matteo Bruno, Emiliano Marchese +5

Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed for re…