activity
20132026
most citedContact patterns in a high school: a comparison between data collected using wearable sensors, contact diaries and friendship surveys

624 citations · 1k across the 23 of their papers we have counts for

collaborators

23 papers

physics.soc-ph2026

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…

econ.TH2026

Public Goods Game on Complex Networks: the interplay between conformity and topology

Ren Manfredi, Eugenio Vicario, Ennio Bilancini +1

Human cooperation is a phenomenon that has been extensively studied, and to date several explanations have been proposed, from network reciprocity to behavioral mechanisms that inc…

physics.soc-ph2026

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…

cs.SI2026

Twitter climate discourse as a signal of pro-environmental behaviors

Edoardo Maggioni, Diego Garlaschelli, Rossana Mastrandrea +1

Fostering coordinated pro-environmental behaviors at scale is a key challenge for climate mitigation. Individual actions only generate meaningful impact when they diffuse widely an…

econ.GN2026

Selecting representative community partitions under modularity degeneracy: the STAR method

Francesca Grassetti, Rossana Mastrandrea

Community detection based on modularity maximization is one of the most widely used approaches for uncovering mesoscale structures in complex networks. However, it is well known th…

physics.soc-ph2025

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…

physics.soc-ph2023★ 6 cited

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…

physics.soc-ph2023

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.…

physics.soc-ph2023

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…

econ.GN2022★ 1 cited

Scaling laws in global corporations as a benchmarking approach to assess environmental performance

Rossana Mastrandrea, Rob ter Burg, Yuli Shan +2

The largest 6,529 international corporations are accountable for almost 30% of global CO2e emissions. A growing awareness of the role of the corporate world in the path toward sust…

physics.soc-ph2021★ 34 cited

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…

physics.soc-ph2020★ 1 cited

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…

physics.soc-ph2019

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…

q-bio.NC2019

The unbalanced reorganization of weaker functional connections induces the altered brain network topology in schizophrenia

Rossana Mastrandrea, Fabrizio Piras, Andrea Gabrielli +4

Network neuroscience shed some light on the functional and structural modifications occurring to the brain associated with the phenomenology of schizophrenia. In particular, restin…

cond-mat.stat-mech2018★ 33 cited

The Grand Canonical ensemble of weighted networks

Andrea Gabrielli, Rossana Mastrandrea, Guido Caldarelli +1

The cornerstone of statistical mechanics of complex networks is the idea that the links, and not the nodes, are the effective particles of the system. Here we formulate a mapping b…

physics.soc-ph2017★ 22 cited

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…

q-bio.NC2017

Organization and hierarchy of the human functional brain network lead to a chain-like core

Rossana Mastrandrea, Andrea Gabrielli, Fabrizio Piras +3

The brain is a paradigmatic example of a complex system as its functionality emerges as a global property of local mesoscopic and microscopic interactions. Complex network theory a…

physics.soc-ph2016★ 22 cited

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…

physics.soc-ph2016★ 25 cited

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…

physics.soc-ph2015★ 624 cited

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…

stat.ME2014★ 77 cited

Unbiased sampling of network ensembles

Tiziano Squartini, Rossana Mastrandrea, Diego Garlaschelli

Sampling random graphs with given properties is a key step in the analysis of networks, as random ensembles represent basic null models required to identify patterns such as commun…

q-fin.GN2014★ 82 cited

Reconstructing the world trade multiplex: the role of intensive and extensive biases

Rossana Mastrandrea, Tiziano Squartini, Giorgio Fagiolo +1

In economic and financial networks, the strength of each node has always an important economic meaning, such as the size of supply and demand, import and export, or financial expos…

physics.data-an2013★ 110 cited

Enhanced reconstruction of weighted networks from strengths and degrees

Rossana Mastrandrea, Tiziano Squartini, Giorgio Fagiolo +1

Network topology plays a key role in many phenomena, from the spreading of diseases to that of financial crises. Whenever the whole structure of a network is unknown, one must reso…