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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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  • TrainingMaterial

    Social Network Analysis @MasterBigData2022

    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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  • 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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  • JournalArticle

    A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm

    We critically re-examine the Saerens-Latinne-Decaestecker (SLD) algorithm, a well-known method for estimating class prior probabilities (“priors”) and adjusting posterior...
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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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  • 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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  • TrainingMaterial

    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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  • 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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  • ConferencePaper

    Boilerplate Removal using a Neural Sequence Labeling Model

    The extraction of main content from web pages is an important task for numerous applications, ranging from usability aspects, like reader views for news articles in web...
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  • JournalArticle

    Big other Surveillance capitalism and the prospects of an information civiliz...

    This article describes an emergent logic of accumulation in the networked sphere, ‘surveillance capitalism,’ and considers its implications for ‘information civilization.’ The...
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  • TrainingMaterial

    Compressed and Learned Data Structures Seminar

    In this seminar cycle, students are guided in the direct usage of a powerful C++ library implementing many state-of-the-art compressed data structures for big data. Other than...
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    ConferencePaper

    Private Structural Invariants in Individuals Language Use The Ego Network of Words

    The cognitive constraints that humans exhibit in their social interactions have been extensively studied by anthropologists, who have highlighted their regularities across...
  • JournalArticle

    The role of geography in the complex diffusion of innovations

    The urban–rural divide is increasing in modern societies calling for geographical extensions of social influence modelling. Improved understanding of innovation diffusion...
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  • JournalArticle

    The democracy of emergency at the time of the coronavirus the virtues of privacy

    The emergency of the Coronavirus imposes a cultural debate on the balancing of rights, freedoms and social responsibilities, finalized to the protection of individual and...
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  • JournalArticle

    The ambiguity of nestedness under soft and hard constraints

    Many real networks feature the property of nestedness, i.e. the neighbours of nodes with a few connections are hierarchically nested within the neighbours of nodes with more...
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  • JournalArticle

    Explaining misclassification and attacks in deep learning via random forests

    Artificial intelligence, and machine learning (ML) in particular, is being used for different purposes that are critical for human life. To avoid an algorithm-based...
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  • JournalArticle

    Identifying and exploiting homogeneous communities in labeled networks

    Attribute-aware community discovery aims to find well-connected communities that are also homogeneous w.r.t. the labels carried by the nodes. In this work, we address such a...
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