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 Twitter Monitor is an interactive Web application designed to access the Twitter stream by exploiting the public Twitter Streaming APIs. The application can manage...

We used the mobility-emission methods (https://data.d4science.org/ctlg/ResourceCatalogue/mobility-emissions) to perform experiments on real GPS trajectories describing 433,272...

GeoSim, proposed by Toole et al. [1], is a mechanistic generative model for human mobility. GeoSim takes into account the social dimension between individuals during the...

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...

This method is a fast and flexible approach to estimate privacy risk in human mobility data. The idea is to train classifiers to capture the relation between individual...

The framework provides a visual interface to a series of analytical processes for the comprehension of human mobility patterns. The framework is feeded with a series of models...

The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting 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...

We use news media attention from the Global Data of Events, Location and Tone (GDELT) database, as a proxy for estimating Global Peace Index (GPI), to complement the knowledge...

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...

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...

The aim of this study was to assess short-term delayed effects of Kinesio taping (KT) on maximal cycling performance. A design with repeated measures was used. Fifteen healthy...

The Sociometer is an analytical framework based on data mining methods that analizes users’ call habits, and classifies people into behavioral categories, among residents,...

This method provides the sql-postgis query to calculate the Origin-Destination matrix starting from a geometry table and a set of GPS trajectories. This kind of matrix, which...

An event classification package.

In this experiment we simulate the mobility of individuals in New York City, London, and Tokyo, using STS-EPR. For each city, we compare the synthetic trajectories generated...

We created a dataset that comprises the mobile phone activity of sixty-five participants for whom the geographical coordinates of their residence location are known. The...

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...

Ordering points to identify the clustering structure (OPTICS) is an algorithm for finding density-based clusters in spatial data. Its basic idea is similar to DBSCAN, but it...