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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-
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Nowcasting well-being with human mobility data
This method describes an analytical framework to nowcast well-being by using mobility measures extracted from mobile phone data. -
SDNN24 Estimation from Semi-Continuous HR Measures
The standard deviation of the interval between QRS complexes recorded over 24 h (SDNN24) is an important metric of cardiovascular health. Wrist-worn fitness wearable devices... -
Relationship between External and Internal Workloads in Soccer Players
The use of machine learning (ML) in soccer allows for the management of a large amount of data deriving from the monitoring of sessions and matches. Although the rate of... -
Estimation of Resting Heart Rate circadian rhythm
Wrist-worn wearable devices equipped with heart rate (HR) sensors have become increasingly popular. The ability to correctly interpret the collected data is fundamental to... -
Workshopping on social big data and adversarial publics
This report is based on an empirical case study on content moderation, whose objective is to interrogate whether content moderation can be reclaimed by users as a practice...-
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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...-
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Polarized User and Topic Tracking
This method provides an iterative classification of users and keywords in Digital traces of conversations in micro-blogging platforms and in OSNs. The method identifies...-
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Github
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GLocalX - Explaining in a Local to Global setting
GLocalX is a model-agnostic Local to Global explanation algorithm. Given a set of local explanations expressed in the form of decision rules, and a black-box model to explain,... -
MARLENA
MARLENA is novel technique able to explain the reasons behind any black-box multi-label classifier decision. It will generate an explanation in the form of a decision rule....-
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Reducing Graph Structural Bias by Adding shortcut edges
Algorithms that tackle the problem of minimizing average/maximum hitting time (BMAH/BMMH) between different social network groups, given fixed shortcut edges. The...-
Data
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Data
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Private TraffiCO2: a simulative framework to assess navigation systems' impact on CO2...
TraffiCO2 is a simulation framework to assess the impact of GPS navigation apps on urban well-being in terms of carbon dioxide (CO2) emissions. TraffiCO2 uses GPS data to... -
Private Connected vehicle simulation framework for parking occupancy prediction
This work demonstrates a simulation framework that collects data about connected vehicles' locations and surroundings in a realistic traffic scenario. Our focus lies on the... -
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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... -
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... -
Sociometer
The Sociometer is an analytical framework based on data mining methods that analizes users’ call habits, and classifies people into behavioral categories, among residents,...-
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TAR
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Exploration of time use by citizens based on their movement tracks
This resource consists of a visual analytics framework and a set of supporting tools for deriving place meaning and reconstructing personal mobility diaries from episodic...-
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rep
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MyWay - Trajectory Prediction
MyWay is a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements. MyWay provides three strategies: the...
