activity
20142020
most citedDaily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits

219 citations · 336 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CY2020★ 2 cited

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

Mirco Nanni, Gennady Andrienko, Albert-László Barabási +36

The rapid dynamics of COVID-19 calls for quick and effective tracking of virus transmission chains and early detection of outbreaks, especially in the phase 2 of the pandemic, when…

cs.CY2017★ 1 cited

Anonymous or not? Understanding the Factors Affecting Personal Mobile Data Disclosure

Christos Perentis, Michele Vescovi, Chiara Leonardi +4

The wide adoption of mobile devices and social media platforms have dramatically increased the collection and sharing of personal information. More and more frequently, users are c…

cs.SI2015★ 36 cited

Beyond Contagion: Reality Mining Reveals Complex Patterns of Social Influence

Aamena Alshamsi, Fabio Pianesi, Bruno Lepri +2

Contagion, a concept from epidemiology, has long been used to characterize social influence on people's behavior and affective (emotional) states. While it has revealed many useful…

cs.CY2014★ 219 cited

Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits

Andrey Bogomolov, Bruno Lepri, Michela Ferron +3

Research has proven that stress reduces quality of life and causes many diseases. For this reason, several researchers devised stress detection systems based on physiological param…

stat.ML2014★ 2 cited

Generalized Compression Dictionary Distance as Universal Similarity Measure

Andrey Bogomolov, Bruno Lepri, Fabio Pianesi

We present a new similarity measure based on information theoretic measures which is superior than Normalized Compression Distance for clustering problems and inherits the useful p…

cs.CY2014★ 73 cited

Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data

Andrey Bogomolov, Bruno Lepri, Jacopo Staiano +3

In this paper, we present a novel approach to predict crime in a geographic space from multiple data sources, in particular mobile phone and demographic data. The main contribution…

cs.CY2014★ 3 cited

Is it morally acceptable for a system to lie to persuade me?

Marco Guerini, Fabio Pianesi, Oliviero Stock

Given the fast rise of increasingly autonomous artificial agents and robots, a key acceptability criterion will be the possible moral implications of their actions. In particular,…