284 citations · 530 across the 11 of their papers we have counts for
12 papers
MedBench-IT: A Comprehensive Benchmark for Evaluating Large Language Models on Italian Medical Entrance Examinations
Ruggero Marino Lazzaroni, Alessandro Angioi, Michelangelo Puliga +2
Large language models (LLMs) show increasing potential in education, yet benchmarks for non-English languages in specialized domains remain scarce. We introduce MedBench-IT, the fi…
Breaking Down the Lockdown: The Causal Effects of Stay-At-Home Mandates on Uncertainty and Sentiments During the COVID-19 Pandemic
C. Biliotti, F. J. Bargagli-Stoffi, N. Fraccaroli +2
We study the causal effects of lockdown measures on uncertainty and sentiment on Twitter. To this end, we exploit the quasi-experimental framework created by the first COVID-19 loc…
Early warnings of COVID-19 outbreaks across Europe from social media?
Milena Lopreite, Pietro Panzarasa, Michelangelo Puliga +1
We analyze data from Twitter to uncover early-warning signals of COVID-19 outbreaks in Europe in the winter season 2019-2020, before the first public announcements of local sources…
The Accounting Network: how financial institutions react to systemic crisis
Andrea Flori, Giuseppe Pappalardo, Michelangelo Puliga +2
The role of Network Theory in the study of the financial crisis has been widely spotted in the latest years. It has been shown how the network topology and the dynamics running on…
Users Polarization on Facebook and Youtube
Alessandro Bessi, Fabiana Zollo, Michela Del Vicario +5
On social media algorithms for content promotion, accounting for users preferences, might limit the exposure to unsolicited contents. In this work, we study how the same contents (…
The Similarity of Global Value Chains: A Network-Based Measure
Zhen Zhu, Greg Morrison, Michelangelo Puliga +2
International trade has been increasingly organized in the form of global value chains (GVCs) where different stages of production are located in different countries. This recent p…
Twitter-based analysis of the dynamics of collective attention to political parties
Young-Ho Eom, Michelangelo Puliga, Jasmina Smailović +2
Large-scale data from social media have a significant potential to describe complex phenomena in real world and to anticipate collective behaviors such as information spreading and…
Global Value Trees
Zhen Zhu, Michelangelo Puliga, Federica Cerina +2
The fragmentation of production across countries has become an important feature of the globalization in recent decades and is often conceptualized by the term, global value chains…
Reconstructing topological properties of complex networks using the fitness model
Giulio Cimini, Tiziano Squartini, Nicolò Musmeci +5
A major problem in the study of complex socioeconomic systems is represented by privacy issuesthat can put severe limitations on the amount of accessible information, forcing to…
Voting Behavior, Coalitions and Government Strength through a Complex Network Analysis
Carlo Dal Maso, Gabriele Pompa, Michelangelo Puliga +2
We analyze the network of relations between parliament members according to their voting behavior. In particular, we examine the emergent community structure with respect to politi…
Extraction of Temporal Networks from Term Co-occurrences in Online Textual Sources
Marko Popović, Hrvoje Štefančić, Borut Sluban +5
A stream of unstructured news can be a valuable source of hidden relations between different entities, such as financial institutions, countries, or persons. We present an approach…
Bootstrapping topology and systemic risk of complex network using the fitness model
Nicoló Musmeci, Stefano Battiston, Guido Caldarelli +2
We present a novel method to reconstruct complex network from partial information. We assume to know the links only for a subset of the nodes and to know some non-topological quant…