49 citations · 155 across the 45 of their papers we have counts for
47 papers
Rewiring the Majority: Structural Median Opinion Control in the Friedkin-Johnsen Model
Elisabetta Biondi, Chiara Boldrini, Andrea Passarella +1
Opinion control under the Friedkin-Johnsen (FJ) model has traditionally focused on modifying individual users, for example by changing their opinions or susceptibility to social in…
From Content Sharing to Opinion Shaping: A Theoretical Framework for Cascade-Driven Opinion Dynamics
Elisabetta Biondi, Chiara Boldrini, Andrea Passarella +1
Online social networks (OSNs) tightly couple information diffusion and opinion formation, yet most existing models treat these processes separately. Building on the Friedkin-Johnse…
Optimal Calibration of Quantum Network Links
Vinay Kumar, Claudio Cicconetti, Marco Conti +1
The reliable distribution of entanglement is essential for the effective operation of quantum networks. Due to fundamental differences between quantum and classical communication s…
Annotation of Positive vs Negative User Interactions for Social Sign Prediction
Biancamaria Bombino, Chiara Boldrini, Andrea Passarella +1
Inferring the sign of social relationships from online interactions is a fundamental challenge in social network analysis. Existing approaches typically rely on sentiment analysis…
Operating Regimes of Decentralized Learning Under Mobility and Bandwidth Constraints
Samuele Sabella, Chiara Boldrini, Lorenzo Valerio +2
Decentralized learning is a promising paradigm for collaborative training in mobile and pervasive systems, as it avoids a central coordinator and does not require sharing raw data.…
Layered Ego Networks in Email Communication: From Enron to the Jmail Archive
Francesco Di Cursi, Chiara Boldrini, Marco Conti +1
Email archives offer a rare view of social relationships through repeated communication, but it remains unclear how well classical ego network layering applies to digital interacti…
Neural Network Compression by Approximate Differential Equivalence
Ravi Dhiman, Andrea Passarella, Mirco Tribastone +1
Neural network compression is commonly achieved by pruning parameters based on local importance scores, e.g., magnitude-based pruning. We propose a complementary approach that comp…
Instruction-Set Architecture for Programmable NV-Center Quantum Repeater Nodes
Vinay Kumar, Claudio Cicconetti, Riccardo Bassoli +2
Programmability is increasingly central in emerging quantum network software stacks, yet the node-internal controller-to-hardware interface for quantum repeater devices remains und…
DecHW: Heterogeneous Decentralized Federated Learning Exploiting Second-Order Information
Adnan Ahmad, Chiara Boldrini, Lorenzo Valerio +2
Decentralized Federated Learning (DFL) is a serverless collaborative machine learning paradigm where devices collaborate directly with neighbouring devices to exchange model inform…
Sparing User Time with a Socially-Aware Independent Metaverse Avatar
Theofanis P. Raptis, Chiara Boldrini, Marco Conti +1
The Metaverse is redefining digital interactions by merging physical, virtual, and social dimensions, yet its effects on social networking remain largely unexplored. This work exam…
Mind Reading or Misreading? LLMs on the Big Five Personality Test
Francesco Di Cursi, Chiara Boldrini, Marco Conti +1
We evaluate large language models (LLMs) for automatic personality prediction from text under the binary Five Factor Model (BIG5). Five models -- including GPT-4 and lightweight op…
The Impact of COVID-19 on Twitter Ego Networks: Structure, Sentiment, and Topics
Kamer Cekini, Elisabetta Biondi, Chiara Boldrini +2
Lockdown measures, implemented by governments during the initial phases of the COVID-19 pandemic to reduce physical contact and limit viral spread, imposed significant restrictions…
Cascade-driven opinion dynamics on social networks
Elisabetta Biondi, Chiara Boldrini, Andrea Passarella +1
Online social networks (OSNs) have transformed the way individuals fulfill their social needs and consume information. As OSNs become increasingly prominent sources for news dissem…
SLICES, a scientific instrument for the networking community
Serge Fdida, Nikos Makris, Thanasis Korakis +8
A science is defined by a set of encyclopedic knowledge related to facts or phenomena following rules or evidenced by experimentally-driven observations. Computer Science and in pa…
The Built-In Robustness of Decentralized Federated Averaging to Bad Data
Samuele Sabella, Chiara Boldrini, Lorenzo Valerio +2
Decentralized federated learning (DFL) enables devices to collaboratively train models over complex network topologies without relying on a central controller. In this setting, loc…
Quantum Internet: Technologies, Protocols, and Research Challenges
Vinay Kumar, Claudio Cicconetti, Marco Conti +1
As the field of the quantum internet advances, a comprehensive guide to navigate its complexities has become increasingly crucial. While quantum computing shares foundational princ…
A Herd of Young Mastodonts: the User-Centered Footprints of Newcomers After Twitter Acquisition
Francesco Di Cursi, Chiara Boldrini, Andrea Passarella +1
The tremendous success of major Online Social Networks (OSNs) platforms has raised increasing concerns about negative phenomena, such as mass control, fake news, and echo chambers.…
Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions
Mirko Nardi, Lorenzo Valerio, Andrea Passarella
Federated Learning (FL) enables decentralized machine learning while preserving data privacy, making it ideal for sensitive applications where data cannot be shared. While FL has b…
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
Alessio Mora, Lorenzo Valerio, Paolo Bellavista +1
Federated Learning (FL) enables the collaborative training of machine learning models without requiring centralized collection of user data. To comply with the right to be forgotte…
Routing in Quantum Networks with End-to-End Knowledge
Vinay Kumar, Claudio Cicconetti, Marco Conti +1
Given the diverse array of physical systems available for quantum computing and the absence of a well-defined quantum internet protocol stack, the design and optimisation of quantu…
Social Isolation, Digital Connection: COVID-19's Impact on Twitter Ego Networks
Kamer Cekini, Elisabetta Biondi, Chiara Boldrini +2
One of the most impactful measures to fight the COVID-19 pandemic in its early first years was the lockdown, implemented by governments to reduce physical contact among people and…
Applying the Ego Network Model to Cross-Target Stance Detection
Jack Tacchi, Parisa Jamadi Khiabani, Arkaitz Zubiaga +2
Understanding human interactions and social structures is an incredibly important task, especially in such an interconnected world. One task that facilitates this is Stance Detecti…
Unveiling Cognitive Constraints in Language Production: Extracting and Validating the Active Ego Network of Words
Kilian Ollivier, Chiara Boldrini, Andrea Passarella +1
The "ego network of words" model captures structural properties in language production associated with cognitive constraints. While previous research focused on the layer-based str…
Energy-Efficient Deployment of Stateful FaaS Vertical Applications on Edge Data Networks
Claudio Cicconetti, Raffaele Bruno, Andrea Passarella
5G and beyond support the deployment of vertical applications, which is particularly appealing in combination with network slicing and edge computing to create a logically isolated…