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Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach
Published:
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.
portfolio
publications
Investigating the scope of a thing in a multiple internet of things scenario
Published in CEUR Workshop Proceedings, 2019
F. Cauteruccio, L. Cinelli, G. Terracina, D. Ursino, L. Virgili
Redefining betweenness centrality in a multiple IoT scenario
Published in CEUR Workshop Proceedings, 2019
F. Cauteruccio, G. Terracina, D. Ursino, L. Virgili
A well-tailored centrality measure for evaluating patents and their citations Permalink
Published in Journal of Documentation, 2019
C. Donato, P. Lo Giudice, R. Marretta, D. Ursino, L. Virgili
Leveraging network analysis to support experts in their analyses of subjects with MCI and AD Permalink
Published in Medical and Biological Engineering and Computing, 2019
P. Lo Giudice, N. Mammone, F.C. Morabito, R.G. Pizzimenti, D. Ursino, L. Virgili
A big data oriented and complex network based model supporting the uniform investigation of heterogeneous personalized medicine data Permalink
Published in Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018, 2019
P.L. Giudice, D. Ursino, L. Virgili
Building topic-driven virtual iots in a multiple iots scenario Permalink
Published in Sensors (Switzerland), 2019
P. Lo Giudice, A. Nocera, D. Ursino, L. Virgili
Co-posting Author Assortativity in Reddit
Published in CEUR Workshop Proceedings, 2020
F. Cauteruccio, E. Corradini, G. Terracina, D. Ursino, L. Virgili
OntoConnect: Results for OAEI 2020
Published in CEUR Workshop Proceedings, 2020
J. Chakraborty, B. Yaman, L. Virgili, K. Konar, S.K. Bansal
An approach to evaluate trust and reputation of things in a Multi-IoTs scenario Permalink
Published in Computing, 2020
D. Ursino, L. Virgili
A privacy-preserving approach to prevent feature disclosure in an IoT scenario Permalink
Published in Future Generation Computer Systems, 2020
S. Nicolazzo, A. Nocera, D. Ursino, L. Virgili
A Lightweight Approach to Extract Interschema Properties from Structured, Semi-Structured and Unstructured Sources in a Big Data Scenario Permalink
Published in International Journal of Information Technology and Decision Making, 2020
F. Cauteruccio, P.L. Giudice, L. Musarella, G. Terracina, D. Ursino, L. Virgili
Defining and detecting k-bridges in a social network: The Yelp case, and more Permalink
Published in Knowledge-Based Systems, 2020
E. Corradini, A. Nocera, D. Ursino, L. Virgili
An approach to compute the scope of a social object in a Multi-IoT scenario Permalink
Published in Pervasive and Mobile Computing, 2020
F. Cauteruccio, L. Cinelli, G. Fortino, C. Savaglio, G. Terracina, D. Ursino, L. Virgili
Humanizing IoT: Defining the Profile and the Reliability of a Thing in a Multi-IoT Scenario Permalink
Published in Studies in Computational Intelligence, 2020
D. Ursino, L. Virgili
Investigating Reddit to detect subreddit and author stereotypes and to evaluate author assortativity Permalink
Published in Journal of Information Science, 2020
F. Cauteruccio, E. Corradini, G. Terracina, D. Ursino, L. Virgili
An investigation on not safe for work adult content in Reddit
Published in CEUR Workshop Proceedings, 2021
F. Cauteruccio, E. Corradini, G. Terracina, D. Ursino, L. Virgili
Applying generative adversarial networks to perform gaze path prediction in websites
Published in CEUR Workshop Proceedings, 2021
G. Bonifazi, E. Corradini, G. Porcino, A. Scopelliti, D. Ursino, L. Virgili
Increasing protection and autonomy in the IoT through a two-tier blockchain framework (Discussion paper)
Published in CEUR Workshop Proceedings, 2021
E. Corradini, S. Nicolazzo, A. Nocera, D. Ursino, L. Virgili
A framework for anomaly detection and classification in Multiple IoT scenarios Permalink
Published in Future Generation Computer Systems, 2021
F. Cauteruccio, L. Cinelli, E. Corradini, G. Terracina, D. Ursino, L. Virgili, C. Savaglio, A. Liotta, G. Fortino
Investigating the phenomenon of NSFW posts in Reddit Permalink
Published in Information Sciences, 2021
E. Corradini, A. Nocera, D. Ursino, L. Virgili
Investigating negative reviews and detecting negative influencers in Yelp through a multi-dimensional social network based model Permalink
Published in International Journal of Information Management, 2021
E. Corradini, A. Nocera, D. Ursino, L. Virgili
OntoConnect: Unsupervised ontology alignment with recursive neural network Permalink
Published in Proceedings of the ACM Symposium on Applied Computing, 2021
J. Chakraborty, S.K. Bansal, L. Virgili, K. Konar, B. Yaman
Savemenow.ai: A machine learning based wearable device for fall detection in a workplace Permalink
Published in Studies in Computational Intelligence, 2021
E. Anceschi, G. Bonifazi, M.C. De Donato, E. Corradini, D. Ursino, L. Virgili
A Social Network Analysis-based approach to investigate user behaviour during a cryptocurrency speculative bubble Permalink
Published in Journal of Information Science, 2021
G. Bonifazi, E. Corradini, D. Ursino, L. Virgili
Defining a deep neural network ensemble for identifying fabric colors Permalink
Published in Applied Soft Computing, 2022
A. Amelio, G. Bonifazi, E. Corradini, S. Di Saverio, M. Marchetti, D. Ursino, L. Virgili
A Space-Time Framework for Sentiment Scope Analysis in Social Media Permalink
Published in Big Data and Cognitive Computing, 2022
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, L. Sciarretta, D. Ursino, L. Virgili
A Network-based Model and a Related Approach to Represent and Handle the Semantics of Comments in a Social Network
Published in CEUR Workshop Proceedings, 2022
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, G. Terracina, D. Ursino, L. Virgili
Mapping and Compressing a Convolutional Neural Network through a Multilayer Network
Published in CEUR Workshop Proceedings, 2022
A. Amelio, G. Bonifazi, E. Corradini, M. Marchetti, D. Ursino, L. Virgili
A two-tier Blockchain framework to increase protection and autonomy of smart objects in the IoT Permalink
Published in Computer Communications, 2022
E. Corradini, S. Nicolazzo, A. Nocera, D. Ursino, L. Virgili
An approach to detect backbones of information diffusers among different communities of a social platform Permalink
Published in Data and Knowledge Engineering, 2022
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, A. Pierini, G. Terracina, D. Ursino, L. Virgili
Extraction and analysis of text patterns from NSFW adult content in Reddit Permalink
Published in Data and Knowledge Engineering, 2022
F. Cauteruccio, E. Corradini, G. Terracina, D. Ursino, L. Virgili
Fine-tuning SalGAN and PathGAN for extending saliency map and gaze path prediction from natural images to websites Permalink
Published in Expert Systems with Applications, 2022
E. Corradini, G. Porcino, A. Scopelliti, D. Ursino, L. Virgili
Investigating the COVID-19 vaccine discussions on Twitter through a multilayer network-based approach Permalink
Published in Information Processing and Management, 2022
G. Bonifazi, B. Breve, S. Cirillo, E. Corradini, L. Virgili
New Approaches to Extract Information from Posts on COVID-19 Published on Reddit Permalink
Published in International Journal of Information Technology and Decision Making, 2022
G. Bonifazi, E. Corradini, D. Ursino, L. Virgili
Defining user spectra to classify Ethereum users based on their behavior Permalink
Published in Journal of Big Data, 2022
G. Bonifazi, E. Corradini, D. Ursino, L. Virgili
Investigating Reddit to detect subreddit and author stereotypes and to evaluate author assortativity Permalink
Published in Journal of Information Science, 2022
F. Cauteruccio, E. Corradini, G. Terracina, D. Ursino, L. Virgili
A machine learning based sentient multimedia framework to increase safety at work Permalink
Published in Multimedia Tools and Applications, 2022
G. Bonifazi, E. Corradini, D. Ursino, L. Virgili, E. Anceschi, M.C. De Donato
Extracting time patterns from the lifespans of TikTok challenges to characterize non-dangerous and dangerous ones Permalink
Published in Social Network Analysis and Mining, 2022
G. Bonifazi, S. Cecchini, E. Corradini, L. Giuliani, D. Ursino, L. Virgili
Representation, detection and usage of the content semantics of comments in a social platform Permalink
Published in Journal of Information Science, 2022
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, G. Terracina, D. Ursino, L. Virgili
Investigating community evolutions in TikTok dangerous and non-dangerous challenges Permalink
Published in Journal of Information Science, 2022
G. Bonifazi, S. Cecchini, E. Corradini, L. Giuliani, D. Ursino, L. Virgili
A Multilayer Network-Based Approach to Represent, Explore and Handle Convolutional Neural Networks Permalink
Published in Cognitive Computation, 2022
A. Amelio, G. Bonifazi, E. Corradini, D. Ursino, L. Virgili
Modeling, Evaluating, and Applying the eWoM Power of Reddit Posts Permalink
Published in Big Data and Cognitive Computing, 2023
G. Bonifazi, E. Corradini, D. Ursino, L. Virgili
Performing Wash Trading on NFTs: Is the Game Worth the Candle? Permalink
Published in Big Data and Cognitive Computing, 2023
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, D. Montella, S. Scarponi, D. Ursino, L. Virgili
2nd International Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding (VIPERC 2023)
Published in CEUR Workshop Proceedings, 2023
A. Amelio, F. Cauteruccio, D. Ursino, L. Virgili
An Ex-Post Analysis of the Phenomenon of Wash Trading on NFTs
Published in CEUR Workshop Proceedings, 2023
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, D. Ursino, L. Virgili
DLE4FC: a Deep Learning Ensemble to Identify Fabric Colors
Published in CEUR Workshop Proceedings, 2023
A. Amelio, G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, D. Ursino, L. Virgili
NT4XAI: a Framework Exploiting Network Theory to Support XAI on Classifiers (Discussion Paper)
Published in CEUR Workshop Proceedings, 2023
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, G. Terracina, D. Ursino, L. Virgili
A Multilayer Network-Based Approach to Represent, Explore and Handle Convolutional Neural Networks Permalink
Published in Cognitive Computation, 2023
A. Amelio, G. Bonifazi, E. Corradini, D. Ursino, L. Virgili
A framework for investigating the dynamics of user and community sentiments in a social platform Permalink
Published in Data and Knowledge Engineering, 2023
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, G. Terracina, D. Ursino, L. Virgili
Applying Social Network Analysis to Model and Handle a Cross-Blockchain Ecosystem Permalink
Published in Electronics (Switzerland), 2023
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, D. Ursino, L. Virgili
Representation and compression of Residual Neural Networks through a multilayer network based approach Permalink
Published in Expert Systems with Applications, 2023
A. Amelio, G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, D. Ursino, L. Virgili
Predicting Tweet Engagement with Graph Neural Networks Permalink
Published in ICMR 2023 - Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023
M. Arazzi, M. Cotogni, A. Nocera, L. Virgili
A Social Network Analysis-based approach to investigate user behaviour during a cryptocurrency speculative bubble Permalink
Published in Journal of Information Science, 2023
G. Bonifazi, E. Corradini, D. Ursino, L. Virgili
Speeding up Vision Transformers Through Reinforcement Learning
Published in CEUR Workshop Proceedings, 2024
F. Cauteruccio, M. Marchetti, D. Traini, D. Ursino, L. Virgili
A model-agnostic, network theory-based framework for supporting XAI on classifiers Permalink
Published in Expert Systems with Applications, 2024
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, G. Terracina, D. Ursino, L. Virgili
A multilayer network-based framework for handling and comparing user histories in X Permalink
Published in Journal of Information Science, 2024
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, D. Ursino, L. Virgili
Investigating community evolutions in TikTok dangerous and non-dangerous challenges Permalink
Published in Journal of Information Science, 2024
G. Bonifazi, S. Cecchini, E. Corradini, L. Giuliani, D. Ursino, L. Virgili
Representation, detection and usage of the content semantics of comments in a social platform Permalink
Published in Journal of Information Science, 2024
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, G. Terracina, D. Ursino, L. Virgili
A deep learning approach to classify country and value of modern coins Permalink
Published in Neural Computing and Applications, 2024
S. Cirillo, G. Solimando, L. Virgili
A network analysis-based framework to understand the representation dynamics of graph neural networks Permalink
Published in Neural Computing and Applications, 2024
G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, D. Ursino, L. Virgili
A multilayer network-based framework for investigating the evolution and resilience of multimodal social networks Permalink
Published in Social Network Analysis and Mining, 2024
G. Bonifazi, F. Cauteruccio, E. Corradini, E. Giannelli, M. Marchetti, D. Ursino, L. Virgili
Adaptive patch selection to improve Vision Transformers through Reinforcement Learning Permalink
Published in Applied Intelligence, 2025
F. Cauteruccio, M. Marchetti, D. Traini, D. Ursino, L. Virgili
A fine-grained approach for visual interpretability of convolutional neural networks Permalink
Published in Applied Soft Computing, 2025
A. Amelio, G. Bonifazi, F. Cauteruccio, E. Corradini, M. Marchetti, D. Ursino, L. Virgili
Defining, Detecting, and Characterizing Power Users in Threads Permalink
Published in Big Data and Cognitive Computing, 2025
G. Bonifazi, C. Buratti, E. Corradini, M. Marchetti, F. Parlapiano, D. Ursino, L. Virgili
A Framework for Investigating Discording Communities on Social Platforms Permalink
Published in Electronics (Switzerland), 2025
F. Cauteruccio, E. Corradini, M. Marchetti, D. Ursino, L. Virgili
Efficient token pruning in Vision Transformers using an attention-based Multilayer Network Permalink
Published in Expert Systems with Applications, 2025
M. Marchetti, D. Traini, D. Ursino, L. Virgili
talks
Co-posting Author Assortativity in Reddit
Published:
teaching
Mobile Programming
Bachelor course in Computer Science and Automation Engineering, Polytechnic University of Marche, 2019
Teaching tutor activity for the Mobile Programming course (24 hours).
Big Data Analytics Laboratory
Master course in Computer Science and Automation Engineering, Polytechnic University of Marche, 2019
Teaching tutor activity for the Big Data Analytics Laboratory course (20 hours).
Data Science
Master course in Computer Science and Automation Engineering, Polytechnic University of Marche, 2020
Teaching tutor activity for the Data Science course (20 hours).
Data Science
Master course in Computer Science and Automation Engineering, Polytechnic University of Marche, 2021
Teaching tutor activity for the Data Science course (20 hours).
Big Data Analytics Lab
Master course in Data Science for Economics and Business, Polytechnic University of Marche, 2022
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
Python Lab for Applications
Master course in Data Science for Economics and Business, Polytechnic University of Marche, 2022
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
AI-Driven Cybersecurity
Ph.D. School in Electronics, Computer Science, and Electrical Engineering, University of Pavia, 2022
Course lecturer of the AI-Driven Cybersecurity for the PhD School in Electronics, Computer Science, and Electrical Engineering (12 hours).
Big Data Analytics Lab
Master course in Data Science for Economics and Business, Polytechnic University of Marche, 2023
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
Python Lab for Applications
Master course in Data Science for Economics and Business, Polytechnic University of Marche, 2023
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
Big Data Analytics Lab
Master course in Data Science for Economics and Business, Polytechnic University of Marche, 2024
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
Data Science Laboratory
Master course in Data Science for Economics and Business, Polytechnic University of Marche, 2024
Course lecturer of the Data Science Laboratory 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
Object Orienting Programming
Bachelor course in Computer Science and Automation Engineering, Polytechnic University of Marche, 2024
Course lecturer of the Object Orienting Programming course for the Bachelor’s Degree Program in Computer Science and Automation Engineering in the Department of Information Engineering (72 hours, 9 CFU). Syllabus
Fundamentals of Computer Science
Bachelor course in Computer Science and Automation Engineering, Polytechnic University of Marche, 2025
Course lecturer of the Fundamentals of Computer Science course for the Bachelor’s Degree Program in Computer Science and Automation Engineering in the Department of Information Engineering (72 hours, 9 CFU). Syllabus
thesis
Can ChatGPT Hack Your Computer?
Exploring myths and realities about the capabilities and limitations of language models like ChatGPT in cybersecurity.
Fake News Detection
Combine LLMs and computer vision approaches to tackle misinformation. For example, integrate text-based analysis with image verification to identify and classify fake news, leveraging the strengths of both modalities.
Hallucination Detection
Develop techniques to identify when LLMs generate false or nonsensical information (“hallucinations”). Use metrics or methods to evaluate output reliability and explore corrective strategies to improve accuracy in various applications.
Mental Health Analysis
Analyze Reddit posts to identify typical writing patterns linked to mental health conditions. Use embeddings from Large Language Models (LLMs) to represent these patterns and compare across different models. Build a network of these embeddings and study its structure to uncover insights into mental health trends or behaviors.
Vision Distillation
In a Vision Transformer, distill the information from the query matrix (Q) onto a blank image to visualize how the model identifies and extracts key details, providing insights into its behavior when processing visual inputs.
Vision Explainability
Calculate the gradient of the attention matrix in a Vision Transformer and construct a multilayer gradient network. Create interpretive masks based on centrality, token importance, or other metrics to enhance the understanding of the model’s decision-making process.