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Mobility Profile
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. -
Privacy Risk on Sociometer
This method provides a Privacy Risk Assessment on CDR data, aggregated through the presence vectors used by the Sociometer. -
Pluralistic Recommendation in News - Report
Report on the Humane-AI microproject "Pluralistic Recommendation in News". It contains details on how the two relevant datasets were built, a link to the two, and details...-
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Carpooling
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... -
Borders
It is a general method to determine the influence of social and mobility behavior over a specific geographical area in order to evaluate to what extent the current...-
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Carpooling Network Analysis
Our method analyzes the potential impact of carpooling as a collective phenomenon emerging from people׳s mobility, by network analytics. Based on big mobility data from... -
Measuring What Counts The case of Rumour Stance Classification
Stance classification can be a powerful tool for understanding whether and which users believe in online rumours. The task aims to automatically predict the stance of replies...-
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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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Simulation of individual mobility using STS-EPR
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...-
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Fairer machine learning in the real world
Mitigating discrimination without collecting sensitive data Decisions based on algorithmic, machine learning models can be unfair, reproducing biases in historical data used... -
Automating and utilizing equal-distribution data classification
Data classification, i.e., organising data items in groups (classes), is a general technique widely used in data visualisation and cartography, in particular, for creation of...-
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Why Are Learned Indexes So Effective
A recent trend in algorithm design consists of augmenting classic data structures with machine learning models, which are better suited to reveal and exploit patterns and trends... -
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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Co Bridges Pair wise Visual Connection and Comparison for Multi item Data Str...
In various domains, there are abundant streams or sequences of multi-item data of various kinds, e.g. streams of news and social media texts, sequences of genes and sports...-
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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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The PGM-index a fully-dynamic compressed learned index with provable worst-ca...
We present the first learned index that supports predecessor, range queries and updates within provably efficient time and space bounds in the worst case. In the (static)...-
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How to Use Visual Media Analysis for Social Media Research
How-to guide that describes four recipes for visual media analysis, including key software tools that enable the analysis-
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