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Analysis of GPS data to assess changes in mobility routines during the COVID-...
Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. In this experiment, we... -
Changes of mobility routines during the COVID-19 pandemic
Non-Pharmaceutical Interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, have dramatically influenced our everyday behaviour. This method allows to... -
A Narrative Review for a Machine Learning Application in Sports: An Example B...
In the last decade, the number of studies about machine learning algorithms applied to sports, e.g., injury forecasting and athlete performance prediction, have rapidly... -
Private Polarizing opinion vectors with the Friedkin-Johnsen Model
This code contains two Mathematica notebooks to find the polarizing opinion vectors given the social graph and the nodes’ susceptibility. The notebooks have to be saved in the... -
Ephemerality metric
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...-
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Generating Synthetic Mobility Networks with Generative Adversarial Networks
The increasingly crucial role of human displacements in complex societal phenomena, such as traffic congestion, segregation, and the diffusion of epidemics, is attracting the... -
Private Event Attendance Prediction using Twitter
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Private Question Rewriting for Conversational Search
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Python library for direct and indirect discrimination prevention in data mining
This python library implements the discrimination discovery and prevention method proposed in the paper: “A methodology for direct and indirect discrimination prevention in... -
Deep Gravity model
Deep Gravity is an effective model to generate flow probabilities that exploits many features (e.g., land use, road network, transport, food, health facilities) extracted from... -
Retweet cascade estimation and analysis
A collection of scripts for the estimation and analysis of a "retweet cascade", i.e., the tree structure describing how the original tweet was spread by retweeters. -
Micro Project Methods: Academic Migration and Academic Networks
Methods used for the micro-project titled: Academic Migration and Academic Networks: Evidence from Scholarly Big Data and the Iron Curtain -
Network generator with fractal topologies - WP8
The micro-project has developed a python module for the generation of networks with fractal topologies, in particular Sierpinski graphs for the task involved in T8.4 Complex... -
Detecting Content That Triggers Polarization in Social Networks
We provide a method that finds echo chambers in online social networks. The method considers controversial contents and finds users of the network who discuss these contents... -
Visualizing the Results of Boolean Matrix Factorizations
We provide a method to visualize the results of Boolean Matrix Factorization algorithms. Our method can also be used to visualize overlapping clusters in bipartite graphs. The... -
Analysis of changes in visits to public venues during the COVID-19 pandemic
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... -
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Mobility-emissions
A collection of methods (relying on the scikit-mobility and OSMnx Python libraries) to compute emissions starting from vehicles' mobility trajectories. In particular, methods... -
Visual media analysis for Instagram and other online platforms
Instagram is currently the social media platform most associated with online images (and their analysis), but images from other platforms also can be collected and grouped,...
