624 citations · 1k across the 23 of their papers we have counts for
13 papers · 1 filter
Energy pathway variety and the progress of the energy transition in European countries
Noam Abadi, Rossana Mastrandrea, Franco Ruzzenenti +1
The integration of new energy forms into existing energy infrastructure has emerged as a critical challenge in the context of the pursuit of a sustainable energy transition. One of…
Beyond Direct Retweets: Multi-Step Pathways in Italian COVID-19 Twitter
Edoardo Maggioni, Ren Manfredi, Fabio Saracco +1
We study how retweet interactions in large-scale Twitter debates are organized beyond direct links alone. Focusing on Twitter debate in Italy during the first phase of the COVID-19…
Leveraging Knowledge Networks: Rethinking Technological Value Distribution in mRNA Vaccine Innovations
Rossana Mastrandrea, Fabio Montobbio, Gabriele Pellegrino +2
This study examines the roles of public and private sector actors in the development of mRNA vaccines, a breakthrough innovation in modern medicine. Using a dataset of 151 core pat…
Tracing two decades of carbon emissions using a network approach
Gianluca Guidi, Rossana Mastrandrea, Angelo Facchini +2
Carbon emissions are currently attributed to producers although a consumption-aware accounting is advocated. After constructing the Carbon Trade Network, we trace the flow of emiss…
Coalitions in International Litigation: A Network Perspective
R. Mastrandrea, G. Antuofermo, M. Ovadek +3
We apply network science principles to analyze the coalitions formed by European Union (EU) nations and institutions during litigation proceedings at the European Court of Justice.…
Coevolution of cognition and cooperation in structured populations under reinforcement learning
Rossana Mastrandrea, Leonardo Boncinelli, Ennio Bilancini
We study the evolution of behavior under reinforcement learning in a Prisoner's Dilemma where agents interact in a regular network and can learn about whether they play one-shot or…
Reconstructing networks
Giulio Cimini, Rossana Mastrandrea, Tiziano Squartini
Complex networks datasets often come with the problem of missing information: interactions data that have not been measured or discovered, may be affected by errors, or are simply…
Weighted network motifs as random walk patterns
Francesco Picciolo, Franco Ruzzenenti, Petter Holme +1
Over the last two decades, network theory has shown to be a fruitful paradigm in understanding the organization and functioning of real-world complex systems. One technique helpful…
Maximum entropy approaches for the study of triadic motifs in the Mergers & Acquisitions network
Ihusan Adam, Stefano Garlaschi, Jian-Hong Lin +4
In the past years statistical physics has been successfully applied for complex networks modelling. In particular, it has been shown that the maximum entropy principle can be explo…
Spatio-Temporal Patterns of the International Merger and Acquisition Network
Marco Dueñas, Rossana Mastrandrea, Matteo Barigozzi +1
This paper analyses the world web of mergers and acquisitions (M&As) using a complex network approach. We use data of M&As to build a temporal sequence of binary and weighted-direc…
How to estimate epidemic risk from incomplete contact diaries data?
Rossana Mastrandrea, Alain Barrat
Social interactions shape the patterns of spreading processes in a population. Techniques such as diaries or proximity sensors allow to collect data about encounters and to build n…
Enhancing the evaluation of pathogen transmission risk in a hospital by merging hand-hygiene compliance and contact data: a proof-of-concept study
Rossana Mastrandrea, Alberto Soto-Aladro, Philippe Brouqui +1
Hand-hygiene compliance and contacts of health-care workers largely determine the potential paths of pathogen transmission in hospital wards. We explored how the combination of dat…
Contact patterns in a high school: a comparison between data collected using wearable sensors, contact diaries and friendship surveys
Rossana Mastrandrea, Julie Fournet, Alain Barrat
Given their importance in shaping social networks and determining how information or diseases propagate in a population, human interactions are the subject of many data collection…