Matteo Cinelli

Pubblicazioni

Titolo Pubblicato in Anno
The echo chamber effect on social media PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2021
Municipal waste management: A complex network approach with an application to Italy WASTE MANAGEMENT 2021
Infodemics: A new challenge for public health CELL 2021
Human mobility in response to COVID-19 in France, Italy and UK SCIENTIFIC REPORTS 2021
Dynamics of online hate and misinformation SCIENTIFIC REPORTS 2021
Entropy and complexity unveil the landscape of memes evolution SCIENTIFIC REPORTS 2021
The interconnectedness of the economic content in the speeches of the US Presidents ANNALS OF OPERATIONS RESEARCH 2021
Ambiguity of network outcomes JOURNAL OF BUSINESS RESEARCH 2021
Success of economic sanctions threats: coercion, information and commitment INTERNATIONAL INTERACTIONS 2021
The COVID-19 social media infodemic SCIENTIFIC REPORTS 2020
Economic and social consequences of human mobility restrictions under COVID-19 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2020
The limited reach of fake news on Twitter during 2019 European elections PLOS ONE 2020
A network perspective for the analysis of bill of material Procedia CIRP 2020
Time, space and social interactions: exit mechanisms for the Covid-19 epidemics SCIENTIFIC REPORTS 2020
Selective exposure shapes the Facebook news diet PLOS ONE 2020
Measuring social response to different journalistic techniques on Facebook HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS 2020
Network constraints on the mixing patterns of binary node metadata PHYSICAL REVIEW. E 2020
Assessing the impact of incomplete information on the resilience of financial networks ANNALS OF OPERATIONS RESEARCH 2019
Recursive patterns in online echo chambers SCIENTIFIC REPORTS 2019
Network processes for collaborative innovation 2019

Interessi di ricerca

Matteo Cinelli is Assistant Professor in Computer Science at the University of Rome “La Sapienza”, Rome, Italy. He is a member of the Center of Data Science and Complexity for Society (CDCS) and his research interests include network and data science mostly in the context of information diffusion and social media.

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