390 citations · 1.8k across the 44 of their papers we have counts for
45 papers
Impact of behavioral heterogeneity on epidemic outcome and its mapping into effective network topologies
Fabio Mazza, Gabriele Ricci, Francesca Colaiori +3
Human behavior plays a critical role in shaping epidemic trajectories. During health crises, people respond in diverse ways in terms of self-protection and adherence to recommended…
The Physics of News, Rumors, and Opinions
Guido Caldarelli, Oriol Artime, Giulia Fischetti +5
The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information…
TROPIC - Trustworthiness Rating of Online Publishers through online Interactions Calculation
Manuel Pratelli, Fabio Saracco, Marinella Petrocchi
Existing methods for assessing the trustworthiness of news publishers face high costs and scalability issues. The tool presented in this paper supports the efforts of specialized o…
Statistically validated projection of bipartite signed networks
Anna Gallo, Fabio Saracco, Tiziano Squartini
Bipartite networks provide a major insight into the organisation of many real-world systems. One of the most relevant issues encountered when modelling a bipartite network is that…
Patterns of link reciprocity in directed, signed networks
Anna Gallo, Fabio Saracco, Renaud Lambiotte +2
Most of the analyses concerning signed networks have focused on the balance theory, hence identifying frustration with undirected, triadic motifs having an odd number of negative e…
Leveraging Content Producer Networks and User Perception to Detect Online Discursive Communities
Stefano Guarino, Ayoub Mounim, Guido Caldarelli +1
Online discussions are often characterized by strong behavioral asymmetries: a relatively small fraction of users actively produces content, while the majority primarily consumes a…
Online disinformation in the 2020 U.S. Election: swing vs. safe states
Manuel Pratelli, Marinella Petrocchi, Fabio Saracco +1
For U.S. presidential elections, most states use the so-called winner-take-all system, in which the state's presidential electors are awarded to the winning political party in the…
Unveiling News Publishers Trustworthiness Through Social Interactions
Manuel Pratelli, Fabio Saracco, Marinella Petrocchi
With the primary goal of raising readers' awareness of misinformation phenomena, extensive efforts have been made by both academic institutions and independent organizations to dev…
Pattern detection in bipartite networks: a review of terminology, applications and methods
Zachary Neal, Annabel Cadieux, Diego Garlaschelli +7
Two dimensional matrices with binary (0/1) entries are a common data structure in many research fields. Examples include ecology, economics, mathematics, physics, psychometrics and…
Entropy-based detection of Twitter echo chambers
Manuel Pratelli, Fabio Saracco, Marinella Petrocchi
Echo chambers, i.e. clusters of users exposed to news and opinions in line with their previous beliefs, were observed in many online debates on social platforms. We propose a compl…
Inferring comparative advantage via entropy maximization
Matteo Bruno, Dario Mazzilli, Aurelio Patelli +2
We revise the procedure proposed by Balassa to infer comparative advantage, which is a standard tool, in Economics, to analyze specialization (of countries, regions, etc.). Balassa…
Swinging in the States: Does disinformation on Twitter mirror the US presidential election system?
Manuel Pratelli, Marinella Petrocchi, Fabio Saracco +1
For more than a decade scholars have been investigating the disinformation flow on social media contextually to societal events, like, e.g., elections. In this paper, we analyze th…
Testing structural balance theories in heterogeneous signed networks
Anna Gallo, Diego Garlaschelli, Renaud Lambiotte +2
The abundance of data about social relationships allows the human behavior to be analyzed as any other natural phenomenon. Here we focus on balance theory, stating that social acto…
Bibliometric and social network analysis on the use of satellite imagery in agriculture: an entropy-based approach
Riccardo Dainelli, Fabio Saracco
Satellite imagery is gaining popularity as a valuable tool to lower the impact on natural resources and increase profits for farmers. The purpose of this study is twofold: to mine…
The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks
Massimo Bernaschi, Alessandro Celestini, Stefano Guarino +2
Models of networks play a major role in explaining and reproducing empirically observed patterns. Suitable models can be used to randomize an observed network while preserving some…
Sustainable Development Goals as unifying narratives in large UK firms' Twitter discussions
Alessia Patuelli, Fabio Saracco
To achieve sustainable development worldwide, the United Nations set 17 Sustainable Development Goals (SDGs) for humanity to reach by 2030. Society is involved in the challenge, wi…
Entropy-based models to randomize real-world hypergraphs
Fabio Saracco, Giovanni Petri, Renaud Lambiotte +1
Network theory has often disregarded many-body relationships, solely focusing on pairwise interactions: neglecting them, however, can lead to misleading representations of complex…
Bow-Tie Structures of Twitter Discursive Communities
Mattia Mattei, Manuel Pratelli, Guido Caldarelli +2
In the analysis of Twitter debate, the recent literature focused on discursive communities, i.e. clusters of accounts interacting among themselves via retweets. In the present work…
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…
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…
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…
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…
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…
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…