This method provides a Privacy Risk Assessment on mobility data, in terms of trajectories or aggregation of trajectories, i.e., locations with frequency of visit and locations...

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...

The objective of this study was to investigate the association between regional and total phase angle (PhA) with lower-body neuromuscular performance in young elite soccer...

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...

the scope of the Special Issue is to advance knowledge of the factors affecting sports performance and recovery emphasizing the use of novel strategies to alleviate and...

The fact that kinesio tape may be capable to enhance muscle power would qualify it as practical tool to be considered during passive warm-up (WU) or coupled with active WU...

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.

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...

This experiment is part the project "Streams of conspiratorial folklore" that investigates online media as a stream of performances, rather than as archives of documents. Our...

This experiment is part the project "Streams of conspiratorial folklore" that investigates online media as a stream of performances, rather than as archives of documents. Our...

The planetary nervous system is a large-scale distributed research platform that provides real-time social sensing services as a public good. Existing Big Data systems...

Scikit-mobility is a library for human mobility analysis in Python. The library allows to: represent trajectories and mobility flows with proper data structures, TrajDataFrame...

python library to unify soccer data and algorithms

Mining with big data or big data mining has become an active research area. Running current analytical methodologies and software tools on a single personal computer cannot...

King’s College London developed a variety of data science materials based on R and Python. R is a de facto standard in statistical computing and visualisation, while our...

King’s College London has developed complete stories around Jupyter Notebooks that form easy recipes for reproducible methods in social data science. Jupyter...