MyWay is a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements. MyWay provides three strategies: the...

This algorithm allows to create a mobility profile of the users' mobility. A mobility profile is a set of representative trips selected from the entire set of trips of a user.

This method estimates the wellbeing of a country by using an alternative measure to GDP. The proposed measure is the average sophistication of the satisfiable needs of a...

Trajectory Builder is an Algorithm to reconstruct trajectories from spatio-temporal observation according to specific user constraints.

https://github.com/HPAI-BSC/ephemerality Code for calculating the ephemerality metrics that can be used to estimate how "ephemeral" discussion topics are based on their...

Carpooling, i.e., the act where two or more travelers share the same car for a common trip, is one of the possibilities brought forward to reduce traffic and its...

Top 10 most retweeted accounts on Covid-related keywords, between Jan 30 and Mar 20, 2020.

The program is intended for calculating semantic distances between input texts. As a commandline script it takes a list of tab-separated text pairs (line-per-pair) and returns...

The Multi-Task Faces (MTF) dataset consists of cropped human faces for classification tasks or other research purposes. Each image in the dataset is labelled according to four...

Path-aware multi-scale homophily measure for node-attributed complex networks

Structify_net is a python library allowing to create networks with a predefined structure, and a chosen number of nodes and links.

This is part of an initial set of datasets that can be downloaded and analyzed from TA-Analytics. More accurate description of dataset in resources

This is part of an initial set of datasets that can be downloaded and analyzed from TA-Analytics. More accurate description of dataset in resources

This is part of an initial set of datasets that can be downloaded and analyzed from TA-Analytics. More accurate description of dataset in resources

This course developed by Universitat Politècnica de Catalunya and Barcelona Supercomputing Center provides an applied approach to Deep Learning. It chooses to present an...

Web archives are typically very broad in scope and extremely large in scale. This makes data analysis appear daunting, especially for non-computer scientists. These...

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...

An Apache Spark framework for easy data processing, extraction as well as derivation for archival collections. Originally developed for the use with Web archives, it has now...