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UTLDR: an agent-based framework for modelling infectious diseases and public ...
Nowadays, due to the SARS-CoV-2 pandemic, epidemic modeling is experiencing a constantly growing interest from researchers of heterogeneous fields of study. Indeed, the vast...-
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Angel efficient and effective node centric community discovery in static and ...
Community discovery is one of the most challenging tasks in social network analysis. During the last decades, several algorithms have been proposed with the aim of identifying... -
A theoretical model for pattern discovery in visual analytics
The word ‘pattern’ frequently appears in the visualisation and visual analytics literature, but what do we mean when we talk about patterns? We propose a practicable... -
A Learned Approach to Quicken and Compress Rank Select Dictionaries
We introduce the first “learned” scheme for implementing a compressed rank/select dictionary. We prove theoretical bounds on its time and space performance both in the worst... -
Conversational search dataset with labels
CAsT 2019 data is split into two files one for training and the other one for testing. - Training set: CAsT 2019 conversations from training set and from test set without... -
Private Question Rewriting for Conversational Search
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Social Network Analysis @MasterBigData2021
This course introduces students to the theories, concepts, and measures of Social Network Analysis (SNA), which is aimed at characterizing the structure of large-scale Online... -
Deep Learning Course
This course developed by Universitat Politècnica de Catalunya and Barcelona Supercomputing Center provides an applied approach to Deep Learning. It chooses to present an...-
DOCX
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Evaluating the significance of network observables with a maximum entropy-bas...
This webinar was organised by the Network Medicine Exploratory (WP10) and hosted Enrico Maiorino. Enrico Maiorino is a very esteemed researcher at Brigham Women's Hospital,...-
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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. -
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... -
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Ego network analysis, information-driven social links and impact on informati...
Slide from the Summer School on Computational Misinformation Analysis 2019 lesson-
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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,... -
Fast and scalable likelihood maximization for Exponential Random Graph Models
Exponential Random Graph Models (ERGMs) have gained increasing popularity over the years. Rooted into statistical physics, the ERGMs framework has been successfully employed...-
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On the performance of learned data structures
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... -
Temporal social network reconstruction using wireless proximity sensors: mode...
The emerging technologies of wearable wireless devices open entirely new ways to record various aspects of human social interactions in a broad range of settings. Such...
