This dataset contains 360° video footage from a bottom-up street-view survey in Pristina, Kosovo divided into major neighborhoods.

Fake followers are fake accounts massively created to follow a target account and that can be bought from online markets. In other words, their goal is that of increasing the...

Spambots are automated accounts (i.e., accounts driven by a bot) that repeatedly advertise unsolicited and often harmful content (e.g., malware, URLs to phishing Web sites,...

A dataset of soccer-logs for all the main soccer leagues in the world, from season 2014/2015 to the current one.

This dataset contains data regarding one full season of soccer games. For each player there are locations (positions in pitch) visited and all the events they generated...

Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of sensing technologies that provide high-fidelity data streams for every...

From March 2020 to May 2021, several lockdown periods caused by COVID-19 pandemic have limited, with varying degrees of severity, the people’s usual activities and mobility in...

Activity data from Telia telecommunications company, Finland reports the number of people dwelling in area for a certain amount of time. More precisely, activity count...

Nowadays, a hot challenge for supermarket chains is to offer personalized services to their customers. Market basket prediction, i.e., supplying the customer a shopping list...

This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data.

Women's football is gaining supporters and practitioners worldwide, raising questions about what the differences are with men's football. While the two sports are often...

A methodology per ranking soccer teams based on soccer logs

An algorithm to forecast the injuries of soccer players given their training workload

This algorithm simulates the outcomes of an entire season of each team of a football league only relying on technical data (i.e., excluding the goals scored), by exploiting a...

The problem of evaluating the performance of soccer players is attracting the interest of many companies and the scientific community, thanks to the availability of massive...

LASTS is a framework that can explain the decisions of black box models for time series classification. The explanation consists of factual and counterfactual rules revealing...

Geolet is a Python library that offers an interpretable transformation and classification approach for trajectory data. Geolet first partitions trajectories into multiple...

The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. We developed...