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  • JournalArticle

    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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  • JournalArticle

    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...
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  • JournalArticle

    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...
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  • ConferencePaper

    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...
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  • Dataset

    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...
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    Method

    Private Question Rewriting for Conversational Search

  • TrainingMaterial

    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...
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    • PDF
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  • TrainingMaterial

    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...
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    • ZIP
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    • ZIP
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  • TrainingMaterial

    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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  • Method

    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.
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  • Method

    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...
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  • Method

    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...
  • Method

    Conformity

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

    CDlib

    Community Discovery library
  • TrainingMaterial

    Ego network analysis, information-driven social links and impact on informati...

    Slide from the Summer School on Computational Misinformation Analysis 2019 lesson
    • PDF
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  • Method

    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,...
  • Method

    PySoccer

    python library to unify soccer data and algorithms
  • Method

    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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  • JournalArticle

    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...
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  • JournalArticle

    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...
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