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Pages

Posts

blog

Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach

Investigating discussions on social networks, particularly on sensitive topics such as politics or healthcare, can be challenging. However, understanding the opinions and trends within these debates is crucial for identifying user cohesion on specific topics. In this work, we proposed a multilayer network approach for modeling discussions on a social network. We applied our model to a Twitter dataset containing tweets about COVID19 vaccines. We compared our approach to traditional single network analysis, and found that it is more effective at identifying influential users with larger networks and more interactions with their neighbors.

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portfolio

publications

Co-posting Author Assortativity in Reddit

F. Cauteruccio, E. Corradini, G. Terracina, D. Ursino, L. Virgili

Demacs, University of Calabria; DII, Polytechnic University of Marche

Published in CEUR Workshop Proceedings, 2020

OntoConnect: Results for OAEI 2020

J. Chakraborty, B. Yaman, L. Virgili, K. Konar, S.K. Bansal

Arizona State University; Dublin City University; DII, Polytechnic University of Marche; Media.net

Published in CEUR Workshop Proceedings, 2020

A framework for anomaly detection and classification in Multiple IoT scenarios

F. Cauteruccio, L. Cinelli, E. Corradini, G. Terracina, D. Ursino, L. Virgili, C. Savaglio, A. Liotta, G. Fortino

DEMACS, University of Calabria; DII, Polytechnic University of Marche; DIMES, University of Calabria; Faculty of Computer Science, Free University of Bozen-Bolzano

Published in Future Generation Computer Systems, 2021

talks

A big data oriented and complex network based model supporting the uniform investigation of heterogeneous personalized medicine data

I discussed a big data-oriented and a complex network-based model and a set of associated parameters, and showed their application to three neurological disorders: Creutzfeldt-Jacob Disease, Childhood Absence Epilepsy and Alzheimer’s Disease.

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Co-posting Author Assortativity in Reddit

I discussed the possible presence of a form of assortativity in Reddit; in particular, I focused the analysis on co-posters, i.e. authors posting contents on the same subreddit.

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Graph Databases and Social Network Analysis in Python and NetworkX

I organized a workshop on Graph Databases (Neo4J) and Social Network Analysis in Python and Networkx along with several applications and data analysis.

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Increasing protection and autonomy in the IoT through a two-tier blockchain framework

I discussed an approach that uses a two-tier blockchain framework and a trust-based protection mechanism to increase the security and autonomy of smart objects in the Internet of Things.

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teaching

Mobile Programming

Teaching tutor activity for the Mobile Programming course (24 hours).

Bachelor course in Computer Science and Automation Engineering, Polytechnic University of Marche, 2019

Big Data Analytics Laboratory

Teaching tutor activity for the Big Data Analytics Laboratory course (20 hours).

Master course in Computer Science and Automation Engineering, Polytechnic University of Marche, 2019

Data Science

Teaching tutor activity for the Data Science course (20 hours).

Master course in Computer Science and Automation Engineering, Polytechnic University of Marche, 2020

Data Science

Teaching tutor activity for the Data Science course (20 hours).

Master course in Computer Science and Automation Engineering, Polytechnic University of Marche, 2021

Big Data Analytics Lab

Course lecturer of the Big Data Analytics Lab course for the Master’s Degree Program in Data Science for Economics and Business in the Department of Economic and Social Sciences (44 hours, 6 CFU). Syllabus

Master course in Data Science for Economics and Business, Polytechnic University of Marche, 2022

Python Lab for Applications

Course lecturer of the Python Lab for Applications course for the Master’s Degree Program in Data Science for Economics and Business in the Department of Economic and Social Sciences (22 hours, 3 CFU). Syllabus

Master course in Data Science for Economics and Business, Polytechnic University of Marche, 2022

AI-Driven Cybersecurity

Course lecturer of the AI-Driven Cybersecurity for the PhD School in Electronics, Computer Science, and Electrical Engineering (12 hours).

Ph.D. School in Electronics, Computer Science, and Electrical Engineering, University of Pavia, 2022