This dataset contains tweets related to the devastating earthquake occurred on 22 February 2011, at around 12 p.m. local time in Christchurch, New Zealand...

This dataset is related to a power outage (i.e., a blackout) that occurred in the city of Milan, in northern Italy, in the night between 14 and 15 May 2013. Despite not...

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

This dataset comprises 1,100 Italian tweets shared in the aftermath of the 2009 L’Aquila earthquake (https://en.wikipedia.org/wiki/2009_L%27Aquila_earthquake). The earthquake...

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...

This course is an introduction to data collection, data preparation & transformation and data analysis. It contains the essential concepts for a researcher in order to...

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,...

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...

Fighting the COVID-19 pandemic, most countries have implemented non-pharmaceutical interventions like wearing masks, physical distancing, lockdown, and travel restrictions....

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...

Hematocrit, Hemoglobin, number of red blood cells, testosterone, and ferritin were the most important features that allowed to profile players and to analyze the response to...

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...

A methodology per ranking soccer teams based on soccer logs

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

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...

Easy-to-apply and quick methods for evaluate body composition are often preferred when assessing soccer teams. This experiment aimed to develop new equations for the...

In this experiment we processed game events available in soccer-logs in order to identify in an unsupervised way (i.e., using a data mining clustering algorithm) a set of roles.

GSP receives a text document as input and returns an enriched document, where all mentions of places/locations are associated to the corresponding geographic coordinates. To...

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...