SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics

Risultati finali

This report will provide a detailed sustainability plan for the new panEuropean SoBigData infrastructure including the creation of the Association and the creation of the SoBigData Foundation and will include plans for the SoBigData platform for the afterproject future

SoBigData Interest groups report 1

The deliverable will contain the activities in the interest groups, reporting the creation of new ones and the status of the resources available.

Dissemination and impact report and plan for following period 2

The annually updated report includes the description of dissemination and impact activities undertaken and scientific papers published as well as the planning for the following year

Periodic and Assessment Report on VA Activities 2

Report on the eInfrastructure operation activity since its last deployment including a detailed set of usage indicators Indicators will be generated automatically by the VA einfrastructure and their current status can be consulted at any moment from the VA einfrastructure portal This report will also contain the periodic assessment of the access services carried out by the SoBigData Project Advisory Board

SoBigData e-Infrastructure Common Facilities 2

Report documenting the releases of the social mining computational engine the online coding and workflow design frameworks and the online science monitoring dashboard Each version will collect the design principles and reference architectures of the released solutions

Periodic Report on VA Activities 1

Report on the e-Infrastructure operation activity since its last deployment, including a detailed set of usage indicators. Indicators will be generated automatically by the VA e-infrastructure and their current status can be consulted at any moment from the VA e-infrastructure portal.

Periodic report on TA activities 2

This deliverable will report on calls initiated in the reporting period, user selection process and outcomes, TA visit reports, and self-evaluation. The M24 and M48 periodic reports will also contain plans for TA calls for the subsequent period.

Innovation Report and planning for the next period 1

This deliverable reports activities of the innovation activities of the WP including the ‘Challenge Us’ participation statistics and results.

Initial dissemination and impact plan

The plan concerns the first period of activity and matches the project’s dissemination goals with available opportunities, which cannot be assessed at the proposal stage.

Periodic Report on VA Activities 3

All Relevant Boards established

Definition of the composition and installation of the boards involved in the project’s management.

Initial Exploratory activities planning

The deliverable will contain the initial plan for the development of the Exploratories.

SoBigData e-Infrastructure Common Facilities 1

Report documenting the releases of the social mining computational engine, the online coding and workflow design frameworks, and the online science monitoring dashboard. Each version will collect the design principles and reference architectures of the released solutions.

Sustainability Plan 2

This report will provide a detailed sustainability plan for the new pan-European SoBigData++ infrastructure including the creation of the Association, and the creation of the SoBigData Foundation and will include plans for the SoBigData platform for the after-project future.

SoBigData e-Infrastructure Operation Report 1

Report on the SoBigData e-Infrastructure operation activity since its deployment, including a detailed set of usage indicators (i.e. the number of users, accesses to resources, usage of resources from scientists, etc.). Indicators will be monthly generated automatically by the SoBigData enabling technology and their current status will be made accessible to the SoBigData VA managers.

Periodic report on TA activities 1

This deliverable will report on calls initiated in the reporting period user selection process and outcomes TA visit reports and selfevaluation The M24 and M48 periodic reports will also contain plans for TA calls for the subsequent period

Exploratory activities report and planning for the next period 1

The deliverable will contain all activities, and planning for the next period, of all the Exploratories including integrated stories and experiments done by trans-national and virtual access users.

Dissemination and impact report and plan for following period 1

The annually updated report includes the description of dissemination and impact activities undertaken and scientific papers published, as well as the planning for the following year.

Dissemination and impact report and plan for following period 3

The annually updated report includes the description of dissemination and impact activities undertaken and scientific papers published, as well as the planning for the following year.

SoBigData Interest groups report 2

The deliverable will contain the activities in the interest groups reporting the creation of new ones and the status of the resources available

Filling the gaps: Emerging new analytical technologies 2

This deliverable will report on the research activities and resulting developed methods. The report will also focus (with a link to WP3) on the scientific publication produced by this activity.

Periodic Training Reports and planning for the next period 2

This deliverable reports on the training activities carried out in this work package, including reports on online courses, summer schools, datathons, and the supported events for young female and minority group researchers.

Ethics and Legality Framework activities 1

Report describing activities performed in the WP as a whole and specifically activities carried out in the various boards.

Ethic and Legality Board Establishment

Report describing the composition of the new operational ethics board and the core part of the high-level advisory position board.

Initial Planning for Training Programme

This deliverable summarizes the plans for the training programme.

Innovation Action Plan

Reports the creation and the status of the industrial board.

Periodic Training Reports and planning for the next period 1

This deliverable reports on the training activities carried out in this work package including reports on online courses summer schools datathons and the supported events for young female and minority group researchers

Filling the gaps: Emerging new analytical technologies 1

This deliverable will report on the research activities and resulting developed methods. The report will also focus (with a link to WP3) on the scientific publication produced by this activity.

Exploratory activities report and planning for the next period 2

The deliverable will contain all activities and planning for the next period of all the Exploratories including integrated stories and experiments done by transnational and virtual access users

SoBigData e-Infrastructure Operation Report 2

Report on the SoBigData eInfrastructure operation activity since its deployment including a detailed set of usage indicators ie the number of users accesses to resources usage of resources from scientists etc Indicators will be monthly generated automatically by the SoBigData enabling technology and their current status will be made accessible to the SoBigData VA managers

Innovation Report and planning for the next period 2

This deliverable reports activities of the innovation activities of the WP including the Challenge Us participation statistics and results

Ethics and Legality Framework activities 2

Report describing activities performed in the WP as a whole and specifical activities carried out in the various boards

Social Data resources and Social media observatory

The purpose of this deliverable is to provide an ongoing and up to date portal containing the description of available datasets in the consortium. The description includes statistics, metadata, sharing policies and archiving technologies as well as the preservation provisions and lifespan. Moreover, it contains information about social media observatory in terms of status and usage.

Social mining services and application integration

Consolidated design and integration of enhanced services and applications. The deliverable will be updated continuously and will be part of the platform as a list of methods and applications available in the e-infrastructure.

Risk Identification and Evaluation

Will address different kinds of risk (external, internal, strategic, operational, other) and will be updated periodically from the Management Board.

Supercomputing Network management and access reports

Continuously report the access to the Supercomputing Network portal and the statistics in the network usage and the number of experiments performed to the facilities.

Pubblicazioni

A Survey on Deep Learning for Human Mobility

Autori: LucaMassimiliano; BarlacchiGianni; LepriBruno; PappalardoLuca
Pubblicato in: ACM Computing SurveysVol. 55, No. 1, Numero 1, 2023, ISSN 0360-0300
Editore: Association for Computing Machinary, Inc.
DOI: 10.48550/arxiv.2012.02825

Evaluating local explanation methods on ground truth

Autori: Riccardo Guidotti
Pubblicato in: Artificial Intelligence, Numero 291, 2021, Pagina/e 103428, ISSN 0004-3702
Editore: Elsevier BV
DOI: 10.1016/j.artint.2020.103428

An ethico-legal framework for social data science

Autori: Nikolaus Forgó, Stefanie Hänold, Jeroen van den Hoven, Tina Krügel, Iryna Lishchuk, René Mahieu, Anna Monreale, Dino Pedreschi, Francesca Pratesi, David van Putten
Pubblicato in: International Journal of Data Science and Analytics, Numero 11/4, 2021, Pagina/e 377-390, ISSN 2364-415X
Editore: Springer
DOI: 10.1007/s41060-020-00211-7

Multi-Dimensional Randomized Response

Autori: Josep Domingo-Ferrer, Jordi Soria-Comas
Pubblicato in: IEEE Transactions on Knowledge and Data Engineering, 2020, Pagina/e 1-1, ISSN 1041-4347
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tkde.2020.3045759

Addressing the socioeconomic divide in computational modeling for infectious diseases

Autori: Michele Tizzoni; Elaine O. Nsoesie; Laetitia Gauvin; Márton Karsai; Nicola Perra; Shweta Bansal
Pubblicato in: Nature Communications, Numero 13, Article number: 2897 (2022), 2022, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-022-30688-8

Automatic Assessment of Privacy Policies under the GDPR

Autori: David Sánchez, Alexandre Viejo, Montserrat Batet
Pubblicato in: Applied Sciences, Numero 11/4, 2021, Pagina/e 1762, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app11041762

A model for social spreading of Covid-19

Autori: Barrio, Rafael A.; Kaski, Kimmo K.; Haraldsson, Guđmundur G.; Aspelund, Thor; Govezensky, Tzipe
Pubblicato in: Physica A: Statistical Mechanics and its Applications, Numero Volume 582, 15 November 2021, 126274, 2021, ISSN 0378-4371
Editore: Elsevier BV
DOI: 10.1016/j.physa.2021.126274

Secure, accurate and privacy-aware fully decentralized learning via co-utility

Autori: Jesús Manjón; Josep Domingo-Ferrer; David Sánchez; Alberto Blanco-Justicia
Pubblicato in: Elsevier - Computer Communications, Numero Volume 207, 1 July 2023,, 2023, Pagina/e Pages 1-18, ISSN 0140-3664
Editore: Elsevier BV
DOI: 10.1016/j.comcom.2023.05.006

A narrative review for a machine learning application in sports: an example based on injury forecasting in soccer

Autori: Alessio Rossi; Luca Pappalardo; Paolo Cintia
Pubblicato in: MDPI Journals Sports, Numero 1, 2022, ISSN 2075-4663
Editore: MDPI
DOI: 10.3390/sports10010005

Human-agent coordination in a group formation game

Autori: Takko, Tuomas; Bhattacharya, Kunal; Monsivais, Daniel; Kaski, Kimmo
Pubblicato in: Springer Nature Scientific Reports, Numero Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021), 2021, ISSN 2662-9283
Editore: Springer Nature
DOI: 10.48550/arxiv.2105.09764

A faster horse on a safer trail: generalized inference for the efficient reconstruction of weighted networks

Autori: Federica Parisi; Tiziano Squartini; Diego Garlaschelli
Pubblicato in: Journal of Physics, Numero 1, 2020, ISSN 1742-5468
Editore: Institute of Physics
DOI: 10.48550/arxiv.1811.09829

Fair detection of poisoning attacks in federated learning on non-i.i.d. data

Autori: Ashneet Khandpur Singh; Alberto Blanco-Justicia; Josep Domingo-Ferrer
Pubblicato in: Data Mining and Knowledge Discovery, Numero 1, 2023, ISSN 1384-5810
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10618-022-00912-6

Battery management for energy communities—Economic evaluation of an artificial intelligence-led system

Autori: Saman Korjani; Angelo Facchini; Mario Mureddu; Alessandro Rubino; Alfonso Damiano
Pubblicato in: Journal of Cleaner Production Volume 314, 2021, ISSN 1879-1786
Editore: Elsevier - ScienceDirect
DOI: 10.1016/j.jclepro.2021.128017

Explainable AI for malnutrition risk prediction from m-Health and clinical data

Autori: Flavio Di Martino; Franca Delmastro; Cristina Dolciotti
Pubblicato in: Smart Health, Numero Volume 30, December 2023, 100429, 2023, ISSN 2352-6483
Editore: Elsevier Science Direct
DOI: 10.1016/j.smhl.2023.100429

The limits of differential privacy (and its misuse in data release and machine learning)

Autori: Josep Domingo-Ferrer, David Sánchez, Alberto Blanco-Justicia
Pubblicato in: Communications of the ACM, Numero 64/7, 2021, Pagina/e 33-35, ISSN 0001-0782
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3433638

COMPASS: Unsupervised and online clustering of complex human activities from smartphone sensors

Autori: Mattia Giovanni Campana; Franca Delmastro
Pubblicato in: Expert systems with applications, Numero Volume 181, 1 November 2021, 115124, 2021, Pagina/e https://arxiv.org/pdf/2306.15437.pdf, ISSN 0957-4174
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.eswa.2021.115124

Regional Bioelectrical Phase Angle Is More Informative than Whole-Body Phase Angle for Monitoring Neuromuscular Performance: A Pilot Study in Elite Young Soccer Players

Autori: Tindaro Bongiovanni; Alessio Rossi; Athos Trecroci; Giulia Martera; F. Marcello Iaia; Giampietro Alberti; Giulio Pasta; Mathieu Lacome
Pubblicato in: Sports, Numero Volume 10; Numero 5; Pages: 66, 2022, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/sports10050066

Finding Path Motifs in Large Temporal Graphs Using Algebraic Fingerprints

Autori: Suhas Thejaswi, Aristides Gionis, Juho Lauri
Pubblicato in: Big Data, Numero 8/5, 2020, Pagina/e 335-362, ISSN 2167-6461
Editore: Mary Ann Liebert inc. Publishers
DOI: 10.1089/big.2020.0078

A decade of social bot detection

Autori: Stefano Cresci
Pubblicato in: Communications of the ACM, Numero 63/10, 2020, Pagina/e 72-83, ISSN 0001-0782
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3409116

Supplementary information.pdf from On the impact of publicly available news and information transfer to financial markets

Autori: Jazbec, Metod; Pàsztor, Barna; Faltings, Felix; Antulov-Fantulin, Nino; Kolm, Petter N.
Pubblicato in: Royal Society Open Science, Volume 8, Numero 7, Numero 64, 2021, ISSN 2054-5703
Editore: Royal Society
DOI: 10.6084/m9.figshare.15032704

Changes in Upper-Body Muscular Strength and Power in Paralympic Swimmers: Effects of Training Confinement during the COVID-19 Pandemic

Autori: Luca Cavaggioni; Alessio Rossi; Massimiliano Tosin; Raffaele Scurati; Giovanni Michielon; Giampietro Alberti; Giampiero Merati; Damiano Formenti; Athos Trecroci
Pubblicato in: IJERPH, Numero Int. J. Environ. Res. Public Health 2022, 19(9), 5382, 2022, ISSN 1660-4601
Editore: MDPI
DOI: 10.3390/ijerph19095382

ANGEL: efficient, and effective, node-centric community discovery in static and dynamic networks

Autori: Giulio Rossetti
Pubblicato in: Applied Network Science, Numero 5/1, 2020, ISSN 2364-8228
Editore: Springer
DOI: 10.1007/s41109-020-00270-6

Disarming visualization-based approaches in malware detection systems

Autori: Lara Saidia Fascí; Marco Fisichella; Gianluca Lax; Chenyi Qian
Pubblicato in: Science Direct, Elsevier, Computers & Security, Numero Volume 126, March 2023, 103062, 2023, ISSN 0167-4048
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.cose.2022.103062

Attention dynamics on the Chinese social media Sina Weibo during the COVID-19 pandemic

Autori: Hao Cui, János Kertész
Pubblicato in: EPJ Data Science, Numero 10/1, 2021, ISSN 2193-1127
Editore: Springer
DOI: 10.1140/epjds/s13688-021-00263-0

BioTAGME: A Comprehensive Platform for Biological Knowledge Network Analysis

Autori: Antonio Di Maria; Salvatore Alaimo; Lorenzo Bellomo; Fabrizio Billeci; Paolo Ferragina; Alfredo Ferro; Alfredo Pulvirenti
Pubblicato in: Network Bioscience Volume II, Numero 1, 2022, ISSN 2296-889X
Editore: Frontiers
DOI: 10.3389/fgene.2022.855739

Interaction Strength Analysis to Model Retweet Cascade Graphs

Autori: Paola Zola, Guglielmo Cola, Michele Mazza, Maurizio Tesconi
Pubblicato in: Applied Sciences, Numero 10/23, 2020, Pagina/e 8394, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app10238394

The PGM-index

Autori: Paolo Ferragina, Giorgio Vinciguerra
Pubblicato in: Proceedings of the VLDB Endowment, Numero 13/8, 2020, Pagina/e 1162-1175, ISSN 2150-8097
Editore: ACM
DOI: 10.14778/3389133.3389135

The role of geography in the complex diffusion of innovations.

Autori: Balázs Lengyel; Eszter Bokányi; Riccardo Di Clemente; Riccardo Di Clemente; Riccardo Di Clemente; János Kertész; Marta C. González; Marta C. González; Marta C. González
Pubblicato in: Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020), Numero 1, 2020, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-020-72137-w

Question routing via activity-weighted modularity-enhanced factorization

Autori: Vaibhav Krishna; Vaiva Vasiliauskaite; Nino Antulov-Fantulin
Pubblicato in: Social Network Analysis and Mining, 12, Numero 1, 2022, ISSN 1869-5469
Editore: Springer
DOI: 10.3929/ethz-b-000578768

Arbitrageurs in the Bitcoin Ecosystem: Evidence from User-Level Trading Patterns in the Mt. Gox Exchange Platform

Autori: Pietro Saggese; Alessandro Belmonte; Nicola Dimitri; Angelo Facchini; Rainer Böhme
Pubblicato in: Journal of Economic Behavior & Organization, Numero Volume 213, September 2023, 2023, Pagina/e 251-270, ISSN 0167-2681
Editore: Elsevier BV
DOI: 10.1016/j.jebo.2023.07.025

A Deep Gravity model for mobility flows generation.

Autori: Filippo Simini; Gianni Barlacchi; Massimilano Luca; Luca Pappalardo
Pubblicato in: Nature communications 12 (2021). doi:10.1038/s41467-021-26752-4, Numero 1, 2021, ISSN 2041-1723
Editore: Nature Publishing Group
DOI: 10.1038/s41467-021-26752-4

Relationship between Cognitive Functions and Sport-Specific Physical Performance in Youth Volleyball Players

Autori: Athos Trecroci; Marco Duca; Luca Cavaggioni; Alessio Rossi; Raffaele Scurati; Stefano Longo; Giampiero Merati; Giampietro Alberti; Damiano Formenti
Pubblicato in: MDPI Brain Science, Numero Brain Sci. 2021, 11(2), 227, 2021, ISSN 2076-3425
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci11020227

Opinion Dynamic Modeling of News Perception

Autori: Letizia Milli
Pubblicato in: info:cnr-pdr/source/autori:Milli L./titolo:Opinion dynamic modeling of news perception/doi:10.1007%2Fs41109-021-00412-4/rivista:Applied network science/anno:2021/pagina_da:1/pagina_a:19/intervallo_pagine:1–19/volume:6, Numero 1, 2021, ISSN 2364-8228
Editore: Springer
DOI: 10.1007/s41109-021-00412-4

Change of direction asymmetry across different age categories in youth soccer

Autori: Athos Trecroci, Alessio Rossi, Thomas Dos’Santos, Damiano Formenti, Luca Cavaggioni, Stefano Longo, F. Marcello Iaia, Giampietro Alberti
Pubblicato in: PeerJ, Numero 8, 2020, Pagina/e e9486, ISSN 2167-8359
Editore: PeerJ
DOI: 10.7717/peerj.9486

On Nonlinear Learned String Indexing

Autori: Paolo Ferragina; Marco Frasca; Giosuè Cataldo Marinò; Giorgio Vinciguerra
Pubblicato in: IEEE Access, Numero Volume 11, 2023, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3295434

A Mechanistic Data-Driven Approach to Synthesize Human Mobility Considering the Spatial, Temporal, and Social Dimensions Together

Autori: Giuliano Cornacchia; Luca Pappalardo
Pubblicato in: ISPRS International Journal of Geo-Information, Vol 10, Iss 599, p 599 (2021), Numero 1, 2021, ISSN 2220-9964
Editore: MDPI - ISPRS International Journal of Geo-Information
DOI: 10.3390/ijgi10090599

The Weighted Bitcoin Lightning Network

Autori: Jian-Hong Lin; Emiliano Marchese; Claudio J. Tessone; Tiziano Squartini
Pubblicato in: Elsevier, Chaos, Solitons & Fractals, 164, Numero 1, 2022, ISSN 0960-0779
Editore: Pergamon Press Ltd.
DOI: 10.3929/ethz-b-000570292

Privacy protection of user profiles in online search via semantic randomization

Autori: Mercedes Rodriguez-Garcia; Montserrat Batet; David Sánchez; Alexandre Viejo
Pubblicato in: Springer Link, Numero 1, 2021, ISSN 0219-1377
Editore: Springer Verlag
DOI: 10.1007/s10115-021-01597-x

Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts

Autori: Alessio Rossi, Dino Pedreschi, David A. Clifton, Davide Morelli
Pubblicato in: Sensors, Numero 20/24, 2020, Pagina/e 7122, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20247122

Achieving security and privacy in federated learning systems: Survey, research challenges and future directions

Autori: Alberto Blanco-Justicia; Josep Domingo-Ferrer; Sergio Martínez; David Sánchez; Adrian Flanagan; Kuan Eeik Tan
Pubblicato in: Engineering Applications of Artificial Intelligence, Numero 1, 2021, ISSN 1873-6769
Editore: Elsevier
DOI: 10.1016/j.engappai.2021.104468

Are Social Networks Watermarking Us or Are We (Unawarely) Watermarking Ourself?

Autori: Flavio Bertini; Rajesh Sharma; Danilo Montesi
Pubblicato in: Special Numero Visualisation and Cybersecurity. Journal of Imaging 2022, 8(5), 132, 2022, ISSN 2313-433X
Editore: Journal of Imaging MDPI
DOI: 10.3390/jimaging8050132

Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning

Autori: Tiziano Fagni; Stefano Cresci
Pubblicato in: Journal of Artificial Intelligence Research, Numero Volume 73, 2022, ISSN 1076-9757
Editore: Morgan Kaufmann Publishers, Inc.
DOI: 10.1613/jair.1.13112

Trajectory test-train overlap in next-location prediction datasets

Autori: Massimiliano Luca; Luca Pappalardo; Bruno Lepri; Gianni Barlacchi
Pubblicato in: Machine learning - Springer, Numero Volume 112, pages 4597–4634, (2023), 2023, ISSN 0885-6125
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10994-023-06386-x

A model for the Twitter sentiment curve.

Autori: Giacomo Aletti; Irene Crimaldi; Fabio Saracco
Pubblicato in: PLoS ONE, Vol 16, Iss 4, p e0249634 (2021), Numero 1, 2021, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0249634

Provable randomized rounding for minimum-similarity diversification

Autori: Bruno Ordozgoiti; Ananth Mahadevan; Antonis Matakos; Aristides Gionis
Pubblicato in: Springer, Numero 1, 2022, ISSN 1573-756X
Editore: Data Mining and Knowledge Discovery
DOI: 10.1007/s10618-021-00811-2

Living in a pandemic: changes in mobility routines, social activity and adherence to COVID-19 protective measures

Autori: Lorenzo Lucchini; Simone Centellegher; Luca Pappalardo; Riccardo Gallotti; Filippo Privitera; Bruno Lepri; Marco De Nadai
Pubblicato in: Scientific reports (Nature Publishing Group) 11 (2021). doi:10.1038/s41598-021-04139-1, Numero 73, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-04139-1

Secure monitoring in IoT-based services via fog orchestration

Autori: Alexandre Viejo, David Sánchez
Pubblicato in: Future Generation Computer Systems, Numero 107, 2020, Pagina/e 443-457, ISSN 0167-739X
Editore: Elsevier BV
DOI: 10.1016/j.future.2020.02.025

An Enterprise Social Analytics Dashboard to Support Competence Valorization and Diversity Management

Autori: Giorgia Di Tommaso; Stefano Faralli; Mauro Gatti; Michela Iannotta; Giovanni Stilo; Paola Velardi
Pubblicato in: Applied Science 2021, 11(18), 8385, Numero Numero 18, 2021, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app11188385

Bitcoin Transaction Networks: an overview of recent results

Autori: Nicoló Vallarano; Claudio J. Tessone; Claudio J. Tessone; Tiziano Squartini
Pubblicato in: Frontiers in Physics, 2020, ISSN 2296-424X
Editore: Frontiers
DOI: 10.48550/arxiv.2005.00114

Uncovering the mesoscale structure of the credit default swap market to improve portfolio risk modelling

Autori: I. Anagnostou, T. Squartini, D. Kandhai, D. Garlaschelli
Pubblicato in: Quantitative Finance, 2021, Pagina/e 1-18, ISSN 1469-7688
Editore: Institute of Physics Publishing
DOI: 10.1080/14697688.2021.1890807

Influence spreading model in analysing ego-centric social networks

Autori: Vesa Kuikka; Daniel Monsivais; Kimmo Kaski; Kimmo Kaski
Pubblicato in: Physica A: Statistical Mechanics and its Applications, Numero 1, 2022, Pagina/e volume 588, ISSN 1873-2119
Editore: Elsevier
DOI: 10.1016/j.physa.2021.126524

Towards better social crisis data with HERMES: Hybrid sensing for EmeRgency ManagEment System

Autori: Marco Avvenuti, Salvatore Bellomo, Stefano Cresci, Leonardo Nizzoli, Maurizio Tesconi
Pubblicato in: Pervasive and Mobile Computing, Numero 67, 2020, Pagina/e 101225, ISSN 1574-1192
Editore: Elsevier BV
DOI: 10.1016/j.pmcj.2020.101225

Physical Activity Levels and Perceived Changes in the Context of Intra-EEA Migration: A Study on Italian Immigrants in Norway.

Autori: Giovanna Calogiuri; Giovanna Calogiuri; Alessio Rossi; Laura Terragni
Pubblicato in: Frontiers in Public Health, Numero Volume 9 - 2021, 2021, ISSN 2296-2565
Editore: FRONTIERS IN PUBLIC HEALTH.
DOI: 10.3389/fpubh.2021.689156

Fluctuating ecological networks: A synthesis of maximum‐entropy approaches for pattern detection and process inference

Autori: Tancredi Caruso; Giulio Virginio Clemente; Matthias C. Rillig; Diego Garlaschelli
Pubblicato in: Methods in Ecology and Evaluation, 2022, ISSN 2041-210X
Editore: John Wiley and Sons Inc.
DOI: 10.1111/2041-210x.13985

On some fundamental challenges in monitoring epidemics

Autori: Vasiliauskaite, Vaiva; Antulov-Fantulin, Nino; Helbing, Dirk
Pubblicato in: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, Numero 1, 2021, ISSN 2054-5703
Editore: The Royal Society Publishing
DOI: 10.1098/rsta.2021.0117

Ethics of smart cities: Towards value-sensitive design and co-evolving city life

Autori: Giannotti, F.; Pedreschi, D.
Pubblicato in: MDPI, 2021, ISSN 2071-1050
Editore: MDPI Open Access Publishing

Cross-Lingual Sentiment Quantification

Autori: Andrea Esuli, Alejandro Moreo, Fabrizio Sebastiani, Erik Cambria
Pubblicato in: IEEE Intelligent Systems, Numero 35/3, 2020, Pagina/e 106-114, ISSN 1541-1672
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mis.2020.2979203

Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study

Autori: Virginia Morini; Laura Pollacci; Giulio Rossetti
Pubblicato in: Journal of Applied Science, Numero Volume 11, Numero 12, 2021, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/app11125390

GLocalX - From Local to Global Explanations of Black Box AI Models

Autori: Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
Pubblicato in: Artificial Intelligence, Numero 294, 2021, Pagina/e 103457, ISSN 0004-3702
Editore: Elsevier BV
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Internal migration and mobile communication patterns among pairs with strong ties

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Modelling exposure between populations using networks of mobility during COVID-19

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A Critical Reassessment of the Saerens-Latinne-Decaestecker Algorithm for Posterior Probability Adjustment

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The academic wanderer: structure of collaboration network and relation with research performance

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Venture capital investments through the lens of network and functional data analysis

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On the performance of learned data structures

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Temporal mixture ensemble models for probabilistic forecasting of intraday cryptocurrency volume

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Ecology in the digital world of Wikipedia

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A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults

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X-Mark: a benchmark for node-attributed community discovery algorithms

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On the accuracy of short-term COVID-19 fatality forecasts

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Debiaser for Multiple Variables to enhance fairness in classification tasks

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On the impact of publicly available news and information transfer to financial markets.

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Towards a generalization of information theory for hierarchical partitions

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Where do migrants and natives belong in a community: a Twitter case study and privacy risk analysis

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Modeling Adversarial Behavior Against Mobility Data Privacy

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Blood sample profile helps to injury forecasting in elite soccer players

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Understanding peacefulness through the world news

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Predicting seasonal influenza using supermarket retail records

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Autori: Vasiliauskaite, Vaiva; Antulov-Fantulin, Nino; Helbing, Dirk
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Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions

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Comparative analysis of geolocation information through mobile-devices under different COVID-19 mobility restriction patterns in Spain

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UTLDR: an agent-based framework for modeling infectious diseases and public interventions

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Data science: a game changer for science and innovation

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Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks

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Directed Percolation in Random Temporal Network Models with Heterogeneities

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Evaluation of home detection algorithms on mobile phone data using individual-level ground truth

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Non-Markovian temporal networks with auto- and cross-correlated link dynamics

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Visual media analysis for Instagram and other online platforms

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Analysing Twitter semantic networks: the case of 2018 Italian elections

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Reconstructing firm-level interactions in the Dutch input-output network from production constraints

Autori: Leonardo Niccolò Ialongo; Camille de Valk; Emiliano Marchese; Fabian Jansen; Hicham Zmarrou; Tiziano Squartini; Diego Garlaschelli
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General Confidentiality and Utility Metrics for Privacy-Preserving Data Publishing Based on the Permutation Model

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Human-agent coordination in a group formation game

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Identifying and exploiting homogeneous communities in labeled networks

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Unifying continuous, discrete, and hybrid susceptible-infected-recovered processes on networks

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Feature-rich multiplex lexical networks reveal mental strategies of early language learning

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Utility-Preserving Privacy Protection of Textual Documents via Word Embeddings

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Explainable AI for clinical and remote health applications: a survey on tabular and time series data

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Evaluating community detection algorithms for progressively evolving graphs

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Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study

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Morningness–eveningness assessment from mobile phone communication analysis

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Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks

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Editorial: Factors affecting performance and recovery in team sports: A multidimensional perspective, Volume II

Autori: Athos Trecroci; Damiano Formenti; Jason Moran; Dino Pedreschi; Luca Cavaggioni; Alessio Rossi
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On the equivalence between the kinetic Ising model and discrete autoregressive processes

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a case for machine learning-induced epistemic injustice in healthcare

Autori: Giorgia Pozzi
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Regional Lean Soft Tissue and Intracellular Water Are Associated with Changes in Lower-Body Neuromuscular Performance: A Pilot Study in Elite Soccer Players

Autori: Tindaro Bongiovanni; Grant Tinsley; Giulia Martera; Carmine Orlandi; Federico Genovesi; Giuseppe Puleo; Alessio Rossi; Athos Trecroci
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Gravity models of networks: integrating maximum-entropy and econometric approaches

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"Re-Assessing the ""Classify and Count"" Quantification Method"

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Heterogeneous document embeddings for cross-lingual text classification

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Ecology in the digital world of Wikipedia

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Focus! Rating XAI Methods and Finding Biases

Autori: Anna Arias-Duart; Ferran Pares; Dario Garcia-Gasulla; Victor Gimenez-Abalos
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Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels

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Finding large balanced subgraphs in signed networks

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Information dynamics of price and liquidity around the 2017 Bitcoin markets crash

Autori: Vaiva Vasiliauskaite; Fabrizio Lillo; Nino Antulov-Fantulin
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Opinion Dynamic Modeling of Fake News Perception.

Autori: Cecilia Toccaceli; Letizia Milli; Giulio Rossetti
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SismaDL an ontology to represent post-disaster regulation

Autori: Caroccia, Francesca; D'Aloisio, Giordano; DI MARCO, Antinisca; Stilo, Giovanni
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Testing properties of signed graphs

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Living in a pandemic: adaptation of individual mobility and social activity in the US

Autori: Lucchini L.; Centellegher S.; Pappalardo L.; Gallotti R.; Privitera F.; Lepri B.; De Nadai M.
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Sharp Thresholds for a SIR Model on One-Dimensional Small-World Networks

Autori: Becchetti, Luca; Clementi, Andrea; Denni, Riccardo; Pasquale, Francesco; Trevisan, Luca; Ziccardi, Isabella
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Fair Detection of Poisoning Attacks in Federated Learning

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Healthy Twitter discussions? Time will tell

Autori: Gnatyshak, Dmitry; Garcia Gasulla, Dario; Álvarez Napagao, Sergio; Arjona Martínez, Jamie; Venturini, Tommaso
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Firms' Challenges and Social Responsibilities during Covid-19: a Twitter Analysis

Autori: Patuelli, Alessia; Caldarelli, Guido; Lattanzi, Nicola; Saracco, Fabio
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An individual-level ground truth dataset for home location detection

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Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions

Autori: Blanco-Justicia, Alberto; Domingo-Ferrer, Josep; Martínez, Sergio; Sánchez, David; Flanagan, Adrian; Tan, Kuan Eeik
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Characterising different communities of Twitter users: Migrants and natives

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Workflows for bringing data science on the cloud/edge computing continuum

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Morningness-eveningness assessment from mobile phone communication analysis

Autori: Chandreyee Roy, Daniel Monsivais, Kunal Bhattacharya, Robin I.M. Dunbar, Kimmo Kaski
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Deep Learning for Human Mobility: a Survey on Data and Models

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Social-based City Reconstruction Planning in case of natural disasters: a Reinforcement Learning Approach

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Evaluating community detection algorithms for progressively evolving graphs

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Visualizing Overlapping Biclusterings and Boolean Matrix Factorizations

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Time-Varying Volatility in Bitcoin Market and Information Flow at Minute-Level Frequency

Autori: Barjašić, Irena; Antulov-Fantulin, Nino
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Quality-Driven Machine Learning-based Data Science Pipeline Realization: a software engineering approach

Autori: Giordano d’Aloisio
Pubblicato in: International Conference on Software Engineering - Companion, ICSE, Companion, 2022, ISSN 1803-7232
Editore: IEEE Xplore
DOI: 10.1145/3510454.3517067

SoBigData RI: european integrated infrastructure for social mining and big data analytics

Autori: Trasarti R.; Grossi V.; Natilli M.; Rapisarda B.
Pubblicato in: SEBD 2022 - The 30th Italian Symposium on Advanced Database Systems,, Numero 1, 2022, Pagina/e 117-124
Editore: SEBD 2022

Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM

Autori: Sorano, Danilo; Carrara, Fabio; Cintia, Paolo; Falchi, Fabrizio; Pappalardo, Luca
Pubblicato in: Joint European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD 2020, Numero Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2021, Pagina/e pp 475–490
Editore: Springer Link
DOI: 10.48550/arxiv.2007.06475

Reconciling econometrics with continuous maximum-entropy network models

Autori: Marzio Di Vece; Diego Garlaschelli; Tiziano Squartini
Pubblicato in: ArXiv, 2022
Editore: ArXiv
DOI: 10.1016/j.chaos.2022.112958

Explainable Classification of Brain Networks via Contrast Subgraphs

Autori: Tommaso Lanciano, Francesco Bonchi, Aristides Gionis
Pubblicato in: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020, Pagina/e 3308-3318, ISBN 9781450379984
Editore: ACM
DOI: 10.1145/3394486.3403383

a software engineering approach

Autori: Giordano D'Aloisio
Pubblicato in: ICSE '22: Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: Companion Proceedings, Numero 1, 2022, Pagina/e 291–293
Editore: ACM Digital Library
DOI: 10.1109/icse-companion55297.2022.9793779

Explaining the difference between men's and women's football

Autori: Pappalardo, Luca; Rossi, Alessio; Pontillo, Giuseppe; Natilli, Michela; Cintia, Paolo
Pubblicato in: Numero 1, 2021
Editore: ArXiv.org

Demystifying Misconceptions in Social Bots Research

Autori: Cresci, Stefano; Di Pietro, Roberto; Spognardi, Angelo; Tesconi, Maurizio; Petrocchi, Marinella
Pubblicato in: ArXiv, Numero 1, 2023
Editore: ArXiv
DOI: 10.48550/arxiv.2303.17251

Quantifying the presence of air pollutants over a road network in high spatio-temporal resolution

Autori: Böhm M.; Nanni M.; Pappalardo L.
Pubblicato in: NeurIPS 2020 Workshop - Tackling Climate Change with Machine Learning, Online conference, 11/12/2020, Numero 1, 2020
Editore: NeurIPS 2020

Measuring Immigrants Adoption of Natives Shopping Consumption with Machine Learning.

Autori: Riccardo Guidotti, Mirco Nanni, Fosca Giannotti, Dino Pedreschi, Simone Bertoli, Biagio Speciale, Hillel Rapoport
Pubblicato in: 2020
Editore: ECML/PKDD

Sockpuppet detection: a Telegram case study

Autori: Pisciotta, Gabriele; Somenzi, Miriana; Barisani, Elisa; Rossetti, Giulio
Pubblicato in: info:cnr-pdr/source/autori:Pisciotta G.; Somenzi M.; Barisani E.; Rossetti G./congresso_nome:Complex Networks 2020 - The 9th International Conference on Complex Networks and their Applications/congresso_luogo:Online conference/congresso_data:1-3%2F12%2F2020/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:, Numero 1, 2021
Editore: ArXiv
DOI: 10.48550/arxiv.2105.10799

Recent results and open problems in spectral algorithms for signed graphs

Autori: Ordozgoiti Rubio, Bruno
Pubblicato in: Proceedings of the 3rd BYMAT Conference, Numero 1, 2021
Editore: BYMAT Conference

Temporal mixture ensemble models for intraday volume forecasting in cryptocurrency exchange markets

Autori: Nino Antulov-Fantulin, Tian Guo, Fabrizio Lillo
Pubblicato in: 2020
Editore: ArXiv.org

Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information

Autori: Simini F.; Barlacchi G.; Luca M.; Pappalardo L.
Pubblicato in: Research report, SoBigData++, 2020, Numero 1, 2020
Editore: ArXiv
DOI: 10.48550/arxiv.2012.00489

Searching for polarization in signed graphs: a local spectral approach

Autori: Han Xiao, Bruno Ordozgoiti, Aristides Gionis
Pubblicato in: Proceedings of The Web Conference 2020, 2020, Pagina/e 362-372, ISBN 9781450370233
Editore: ACM
DOI: 10.1145/3366423.3380121

MP Twitter Engagement and Abuse Post-first COVID-19 Lockdown in the UK: White Paper

Autori: Farrell, Tracie; Bakir, Mehmet; Bontcheva, Kalina
Pubblicato in: Numero 1, 2021
Editore: ArXiv.org

Dynamic Hard Pruning of Neural Networks at the Edge of the Internet

Autori: Lorenzo Valerio, Franco Maria Nardini, Andrea Passarella, Raffaele Perego
Pubblicato in: 2021
Editore: ArXiv.org

Are Social Networks Watermarking Us or Are We (Unawarely) Watermarking Ourself?

Autori: Bertini, Flavio; Sharma, Rajesh; Montesi, Danilo
Pubblicato in: Numero 1, 2020
Editore: ArXiv.org

Analysis of bank leverage via dynamical systems and deep neural networks

Autori: Fabrizio Lillo, Giulia Livieri, Stefano Marmi, Anton Solomko, Sandro Vaienti
Pubblicato in: 2021
Editore: ArXiv.org

The effect of algorithmic bias and network structure on coexistence, consensus, and polarization of opinions

Autori: Antonio F. Peralta, Matteo Neri, János Kertész, Gerardo Iñiguez
Pubblicato in: 2021
Editore: ArXiv.org

Some Challenges in Monitoring Epidemics

Autori: Vaiva Vasiliauskaite, Nino Antulov-Fantulin, Dirk Helbing
Pubblicato in: 2021
Editore: ArXiv.org

Capturing Political Polarization of Reddit Submissions in the Trump Era

Autori: Morini V.; Pollacci L.; Rossetti G.
Pubblicato in: info:cnr-pdr/source/autori:Morini V.; Pollacci L.; Rossetti G./congresso_nome:SEBD 2020 28th SYMPOSIUM ON ADVANCED DATABASE SYSTEMS/congresso_luogo:Villasimius, Sardinia, Italy/congresso_data:June 21-24, 2020/anno:2020/pagina_da:80/pagina_a:87/intervallo_pagine:80–87, Numero 1, 2020
Editore: SEBD 2020

Diversity-Aware k-median

Autori: Thejaswi, Suhas; Ordozgoiti, Bruno; Gionis, Aristides
Pubblicato in: ECML PKDD 2021: Machine Learning and Knowledge Discovery in Databases. Research Track, 2021, Pagina/e 765–780
Editore: Springer
DOI: 10.1007/978-3-030-86520-7_47

Benchmarking and Survey of Explanation Methods for Black Box Models

Autori: Bodria, Francesco; Giannotti, Fosca; Guidotti, Riccardo; Naretto, Francesca; Pedreschi, Dino; Rinzivillo, Salvatore
Pubblicato in: Numero 1, 2021
Editore: ArXiv.org

Private Sources of Mobility Data Under COVID-19

Autori: Raquel Pérez Arnal, David Conesa, Sergio Alvarez-Napagao, Toyotaro Suzumura, Martí Català, Enric Alvarez, Dario Garcia-Gasulla
Pubblicato in: 2020
Editore: ArXiv.org

Expansion and Flooding in Dynamic Random Networks with Node Churn

Autori: Becchetti, Luca; Clementi, Andrea; Pasquale, Francesco; Trevisan, Luca; Ziccardi, Isabella
Pubblicato in: Numero 1, 2020
Editore: ArXiv.org

Multi-Dimensional Randomized Response

Autori: Josep Domingo-Ferrer; Jordi Soria-Comas
Pubblicato in: International Conference on Data Engineering, 2022
Editore: IEEE Xplore
DOI: 10.1109/icde53745.2022.00135

Lightweight Blockchain-based Platform for GDPR-Compliant Personal Data Management

Autori: Cristofol Dauden-Esmel; Jordi Castellà-Roca; Alexandre Viejo; Josep Domingo-Ferrer
Pubblicato in: CSP, Numero 61, 2021, ISBN 978-1-7281-8622-1
Editore: IEEE Xplore
DOI: 10.1109/csp51677.2021.9357602

Definition of an enriched GIS network for evacuation planning

Autori: Evans Etrue Howard, Lorenza Pasquini, Antinisca Di Marco, d Eliseo Clementini
Pubblicato in: 2021
Editore: Scitepress

Time-varying volatility in Bitcoin market and information flow at minute-level frequency

Autori: Irena Barjašić, Nino Antulov-Fantulin
Pubblicato in: 2020
Editore: ArXiv.org

Misinformation Concierge: A Proof-of-Concept with Curated Twitter Dataset on COVID-19 Vaccination

Autori: Shakshi Sharma; Anwitaman Datta; Vigneshwaran Shankaran; Rajesh Sharma
Pubblicato in: CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023, Pagina/e Pages 5091–5095
Editore: ACM Digital Libray
DOI: 10.1145/3583780.3614746

Boilerplate Removal using a Neural Sequence Labeling Model

Autori: Jurek Leonhardt, Avishek Anand, Megha Khosla
Pubblicato in: Companion Proceedings of the Web Conference 2020, 2020, Pagina/e 226-229, ISBN 9781450370240
Editore: ACM
DOI: 10.1145/3366424.3383547

Modelling Human Mobility considering Spatial,Temporal and Social Dimensions

Autori: Cornacchia, Giuliano; Rossetti, Giulio; Pappalardo, Luca
Pubblicato in: Numero 1, 2020
Editore: ArXiv.org

Estimating countries’ peace index through the lens of the world news as monitored by GDELT

Autori: Vasiliki Voukelatou, Luca Pappalardo, Ioanna Miliou, Lorenzo Gabrielli, Fosca Giannotti
Pubblicato in: 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), 2020, Pagina/e 216-225, ISBN 978-1-7281-8206-3
Editore: IEEE
DOI: 10.1109/dsaa49011.2020.00034

How accurate are neural approximations of complex network dynamics?

Autori: Vasiliauskaite, Vaiva; Antulov-Fantulin, Nino
Pubblicato in: arXiv, 2023
Editore: ArXiv
DOI: 10.3929/ethz-b-000639455

SismaDL an ontology to represent post-disaster regulation

Autori: Caroccia, F.; D’agostino, D.; Giordano d'Aloisio; Di Marco, A.; Stilo, G.
Pubblicato in: Scopus - Elsevier, Numero 75, 2021
Editore: CEUR-WS.org

Tweet Sentiment Quantification: An Experimental Re-Evaluation

Autori: Moreo, Alejandro; Sebastiani, Fabrizio
Pubblicato in: Research report, SoBigData++ and AI4Media, 2020, Numero 1, 2021
Editore: ArXiv.org

An individual-level ground truth dataset for home location detection

Autori: Luca Pappalardo, Leo Ferres, Manuel Sacasa, Ciro Cattuto, Loreto Bravo
Pubblicato in: 2020
Editore: ArXiv.org

Change of direction asymmetry across different age categories in youth soccer

Autori: Athos Trecroci, Alessio Rossi, Thomas Dos’Santos, Damiano Formenti, Luca Cavaggioni, Stefano Longo, F. Marcello Iaia, Giampietro Alberti
Pubblicato in: PeerJ. 2020;, 2020
Editore: PubMed

Explain and Predict, and then Predict Again

Autori: Zijian Zhang, Koustav Rudra, Avishek Anand
Pubblicato in: Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021, Pagina/e 418-426, ISBN 9781450382977
Editore: ACM
DOI: 10.1145/3437963.3441758

Attributed Stream-Hypernetwork Analysis: Homophilic Behaviors in Pairwise and Group Political Discussions on Reddit

Autori: Andrea Failla; Salvatore Citraro; Giulio Rossetti
Pubblicato in: Complex Networks and Their Applications XI ISBN: 9783031211263, 2023, Pagina/e pp 150–161, ISSN 9783-031211263
Editore: Springer Link
DOI: 10.1007/978-3-031-21127-0_13

Optimising cost vs accuracy of decentralised analytics in fog computing environments

Autori: Lorenzo Valerio, Andrea Passarella, Marco Conti
Pubblicato in: 2020
Editore: ArXiv.org

On-device modeling of user's social context and familiar places from smartphone-embedded sensor data

Autori: Mattia G. Campana; Franca Delmastro
Pubblicato in: Axviv, Numero 1, 2022
Editore: ArXiv
DOI: 10.48550/arxiv.2205.08790

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy

Autori: Cintia, Paolo; Pappalardo, Luca; Rinzivillo, Salvatore; Fadda, Daniele; Boschi, Tobia; Giannotti, Fosca; Chiaromonte, Francesca; Bonato, Pietro; Fabbri, Francesco; Penone, Francesco; Savarese, Marcello; Calabrese, Francesco; Guzzetta, Giorgio; Riccardo, Flavia; Marziano, Valentina; Poletti, Piero; Trentini, Filippo; Bella, Antonino; Andrianou, Xanthi; Del Manso, Martina; Fabiani, Massimo; Bellino,
Pubblicato in: Numero 1, 2021
Editore: ArXiv.org

Temporal-Weighted Bipartite Graph Model for Sparse Expert Recommendation in Community Question Answering

Autori: Vaibhav Krishna; Nino Antulov-Fantulin
Pubblicato in: UMAP '23: Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, 2023, Pagina/e Pages 156–163
Editore: ACM Digital Library
DOI: 10.1145/3565472.3592957

Pattern detection in large temporal graphs using algebraic fingerprints

Autori: Suhas Thejaswi, Aristides Gionis
Pubblicato in: Proceedings of the 2020 SIAM International Conference on Data Mining, 2020, Pagina/e 37-45, ISBN 978-1-61197-623-6
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611976236.5

Structural Invariants in Individuals Language Use: The “Ego Network” of Words

Autori: Kilian Ollivier, Chiara Boldrini, Andrea Passarella, Marco Conti
Pubblicato in: Social Informatics - 12th International Conference, SocInfo 2020, Pisa, Italy, October 6–9, 2020, Proceedings, Numero 12467, 2020, Pagina/e 267-282, ISBN 978-3-030-60974-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-60975-7_20

Learned Data Structures

Autori: Paolo Ferragina, Giorgio Vinciguerra
Pubblicato in: Recent Trends in Learning From Data - Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019), Numero 896, 2020, Pagina/e 5-41, ISBN 978-3-030-43882-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-43883-8_2

Discovering Dense Correlated Subgraphs in Dynamic Networks

Autori: Giulia Preti, Polina Rozenshtein, Aristides Gionis, Yannis Velegrakis
Pubblicato in: Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I, Numero 12712, 2021, Pagina/e 395-407, ISBN 978-3-030-75761-8
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-75762-5_32

Mining Dense Subgraphs with Similar Edges

Autori: Polina Rozenshtein, Giulia Preti, Aristides Gionis, Yannis Velegrakis
Pubblicato in: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III, Numero 12459, 2021, Pagina/e 20-36, ISBN 978-3-030-67663-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-67664-3_2

Efficient Detection of Byzantine Attacks in Federated Learning Using Last Layer Biases

Autori: Najeeb Jebreel, Alberto Blanco-Justicia, David Sánchez, Josep Domingo-Ferrer
Pubblicato in: Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2–4, 2020, Proceedings, Numero 12256, 2020, Pagina/e 154-165, ISBN 978-3-030-57523-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-57524-3_13

From mean-field to complex topologies: network effects on the algorithmic bias model

Autori: Valentina Pansanella; Giulio Rossetti; Letizia Milli
Pubblicato in: COMPLEX NETWORKS 2021 - Tenth International Conference on Complex Networks and Their Applications, pp. 329–340, Madrid, Spain, 30/11-2/12/2021, Numero 62, 2022
Editore: arXiv
DOI: 10.1007/978-3-030-93413-2_28

Maximizing diversity over clustered data

Autori: Guangyi Zhang, Aristides Gionis
Pubblicato in: Proceedings of the 2020 SIAM International Conference on Data Mining, 2020, Pagina/e 649-657, ISBN 978-1-61197-623-6
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611976236.73

Explaining Misclassification and Attacks in Deep Learning via Random Forests

Autori: Rami Haffar, Josep Domingo-Ferrer, David Sánchez
Pubblicato in: Modeling Decisions for Artificial Intelligence - 17th International Conference, MDAI 2020, Sant Cugat, Spain, September 2–4, 2020, Proceedings, Numero 12256, 2020, Pagina/e 273-285, ISBN 978-3-030-57523-6
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-57524-3_23

Improved mixing time for k -subgraph sampling

Autori: Ryuta Matsuno, Aristides Gionis
Pubblicato in: Proceedings of the 2020 SIAM International Conference on Data Mining, 2020, Pagina/e 568-576, ISBN 978-1-61197-623-6
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611976236.64

Characterizing Social Bots Spreading Financial Disinformation

Autori: Serena Tardelli, Marco Avvenuti, Maurizio Tesconi, Stefano Cresci
Pubblicato in: Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis - 12th International Conference, SCSM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I, Numero 12194, 2020, Pagina/e 376-392, ISBN 978-3-030-49569-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-49570-1_26

A “Learned” Approach to Quicken and Compress Rank/Select Dictionaries

Autori: Antonio Boffa, Paolo Ferragina, Giorgio Vinciguerra
Pubblicato in: 2021 Proceedings of the Workshop on Algorithm Engineering and Experiments (ALENEX), 2021, Pagina/e 46-59, ISBN 978-1-61197-647-2
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/1.9781611976472.4

Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars

Autori: Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri
Pubblicato in: Discovery Science - 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19–21, 2020, Proceedings, Numero 12323, 2020, Pagina/e 357-373, ISBN 978-3-030-61526-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-61527-7_24

Focus and bias: will it blend?

Autori: Anna Arias-Duart; Ferran Parés; Víctor Giménez-Ábalos; Dario Garcia-Gasulla
Pubblicato in: Crossref, Numero 1, 2022, Pagina/e 325-334
Editore: IOS Press
DOI: 10.3233/faia220355

Dynamics of Scientific Collaboration Networks Due to Academic Migrations

Autori: Pavlos Paraskevopoulos, Chiara Boldrini, Andrea Passarella, Marco Conti
Pubblicato in: Social Informatics - 12th International Conference, SocInfo 2020, Pisa, Italy, October 6–9, 2020, Proceedings, Numero 12467, 2020, Pagina/e 283-296, ISBN 978-3-030-60974-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-60975-7_21

Big Data Analytics and Instagram: an exploratory study on Italian hotel accounts

Autori: Pianese T.; Rossetti G.; Morini V.
Pubblicato in: Tourism, Hospitality and Culture 4.0: shifting towards the metaverse, edited by Buonincontri Piera, Luisa Errichiello, Roberto Micera, pp. 13–36. Milano: Mc Graw-Hill, 2022, 2022
Editore: Mc Graw-Hill

Healthy Twitter discussions? Time will tell

Autori: Gnatyshak, Dmitry; Garcia Gasulla, Dario; Álvarez Napagao, Sergio; Arjona Martínez, Jamie; Venturini, Tommaso
Pubblicato in: Numero 76, 2022
Editore: arxiv.org

A dataset to assess mobility changes in Chile following local quarantines

Autori: Pappalardo L.; Cornacchia G.; Navarro V.; Bravo L.; Ferres L.
Pubblicato in: Research report, SoBigData++, 2020, Numero 59, 2020
Editore: arxiv
DOI: 10.48550/arxiv.2011.12162

Secure and Privacy-Preserving Federated Learning via Co-Utility

Autori: Josep Domingo-Ferrer; Alberto Blanco-Justicia; Jesús A. Manjón; David Sánchez
Pubblicato in: IEEE Internet of Things Journal, Numero 1, 2021, ISSN 2327-4662
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2021.3102155

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