Zobrazeno 1 - 10
of 185
pro vyhledávání: '"Ruffo, Giancarlo"'
Autor:
Vilella, Salvatore, Lupi, Arthur Thomas Edward Capozzi, Fornasiero, Marco, Moncalvo, Dario, Ricci, Valeria, Ronchiadin, Silvia, Ruffo, Giancarlo
This paper explores anomaly detection through temporal network analysis. Unlike many conventional methods, relying on rule-based algorithms or general machine learning approaches, our methodology leverages the evolving structure and relationships wit
Externí odkaz:
http://arxiv.org/abs/2311.14778
Publikováno v:
Arthur Capozzi and others, Analyzing and visualizing polarization and balance with signed networks: the U.S. Congress case study, Journal of Complex Networks, Volume 11, Issue 4, August 2023, cnad027
Signed networks and balance theory provide a natural setting for real-world scenarios that show polarization dynamics, positive/negative relationships, and political partisanship. For example, they have been proven effective in studying the increasin
Externí odkaz:
http://arxiv.org/abs/2209.00676
Publikováno v:
ACM Transactions on Information Systems Volume 41 Issue 1 January 2023 Article No 25
We propose a simple model of an idealized online cultural market in which $N$ items, endowed with a hidden quality metric, are recommended to users by a ranking algorithm possibly biased by the current items' popularity. Our goal is to better underst
Externí odkaz:
http://arxiv.org/abs/2204.13536
Autor:
Lenti, Jacopo, Ruffo, Giancarlo
Publikováno v:
Journal of Complex Networks, 2022, 10.3
We present three models used to describe the recruitment of the undecided population by pro-vax and no-vax factions. Starting from real-world data of Facebook pages, we compare three opinion dynamics models that catch different behaviours of the unde
Externí odkaz:
http://arxiv.org/abs/2201.08822
Publikováno v:
Scientific Reports volume 12, Article number: 14445 (2022)
Since their announcement in November 2020, COVID-19 vaccines were largely debated by the press and social media. With most studies focusing on COVID-19 disinformation in social media, little attention has been paid to how mainstream news outlets fram
Externí odkaz:
http://arxiv.org/abs/2201.07538
Autor:
Ruffo, Giancarlo, Semeraro, Alfonso
Publikováno v:
Future Internet 2022, 14(10), 283
Misinformation posting and spreading in Social Media is ignited by personal decisions on the truthfulness of news that may cause wide and deep cascades at a large scale in a fraction of minutes. When individuals are exposed to information, they usual
Externí odkaz:
http://arxiv.org/abs/2110.11729
Publikováno v:
Computer Science Review, Volume 47, 2023, 100531, ISSN 1574-0137
With the explosive growth of online social media, the ancient problem of information disorders interfering with news diffusion has surfaced with a renewed intensity threatening our democracies, public health, and news outlets' credibility. Therefore,
Externí odkaz:
http://arxiv.org/abs/2109.07909
Publikováno v:
EPJ Data Science volume 11, Article number: 29 (2022)
In this work we study how pervasive is the presence of disinformation in the Italian debate around immigration on Twitter and the role of automated accounts in the diffusion of such content. By characterising the Twitter users with an \textit{Untrust
Externí odkaz:
http://arxiv.org/abs/2106.15968
Publikováno v:
PLoS ONE 16(9): e0256503, 2021
The increasing availability of textual corpora and data fetched from social networks is fuelling a huge production of works based on the model proposed by psychologist Robert Plutchik, often referred simply as the ``Plutchik Wheel''. Related research
Externí odkaz:
http://arxiv.org/abs/2105.04295
Interest has grown around the classification of stance that users assume within online debates in recent years. Stance has been usually addressed by considering users posts in isolation, while social studies highlight that social communities may cont
Externí odkaz:
http://arxiv.org/abs/2007.14936