122 citations · 367 across the 35 of their papers we have counts for
8 papers · 1 filter
On a Japanese Subjective Well-Being Indicator Based on Twitter data
Tiziana Carpi, Airo Hino, Stefano Maria Iacus +1
This study presents for the first time the SWB-J index, a subjective well-being indicator for Japan based on Twitter data. The index is composed by eight dimensions of subjective w…
Anomaly Detection of Mobility Data with Applications to COVID-19 Situational Awareness
Stefano Maria Iacus, Francesco Sermi, Spyridon Spyratos +2
This work introduces a live anomaly detection system for high frequency and high-dimensional data collected at regional scale such as Origin Destination Matrices of mobile position…
Forecasting asylum-related migration flows with machine learning and data at scale
Marcello Carammia, Stefano Maria Iacus, Teddy Wilkin
The effects of the so-called "refugee crisis" of 2015-16 continue to dominate the political agenda in Europe. Migration flows were sudden and unexpected, leaving governments unprep…
Is Japanese gendered language used on Twitter ? A large scale study
Tiziana Carpi, Stefano Maria Iacus
This study analyzes the usage of Japanese gendered language on Twitter. Starting from a collection of 408 million Japanese tweets from 2015 till 2019 and an additional sample of 23…
Human mobility and COVID-19 initial dynamics
Stefano Maria Iacus, Carlos Santamaria, Francesco Sermi +3
Mobility data at EU scale can help understand the dynamics of the pandemic and possibly limit the impact of future waves. Still, since a reliable and consistent method to measure t…
Are official confirmed cases and fatalities counts good enough to study the COVID-19 pandemic dynamics? A critical assessment through the case of Italy
Krzysztof Bartoszek, Emanuele Guidotti, Stefano Maria Iacus +1
As the COVID-19 outbreak is developing the two most frequently reported statistics seem to be the raw confirmed case and case fatalities counts. Focusing on Italy, one of the harde…