4 citations · 6 across the 20 of their papers we have counts for
22 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…
Decentralised Federated Learning over Temporal Networks: The Role of Heterogeneities
Arash Badie-Modiri, Chiara Boldrini, Lorenzo Valerio +2
Decentralised federated learning, based on peer-to-peer communication, is increasingly proposed for on-device training of machine learning models, promising a privacy-preserving, c…
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…
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…
DODO: Causal Structure Learning with Budgeted Interventions
Matteo Gregorini, Chiara Boldrini, Lorenzo Valerio
Artificial Intelligence has achieved remarkable advancements in recent years, yet much of its progress relies on identifying increasingly complex correlations. Enabling causality a…
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…
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…
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.…
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…
Robustness of Decentralised Learning to Nodes and Data Disruption
Luigi Palmieri, Chiara Boldrini, Lorenzo Valerio +3
In the vibrant landscape of AI research, decentralised learning is gaining momentum. Decentralised learning allows individual nodes to keep data locally where they are generated an…
Initialisation and Network Effects in Decentralised Federated Learning
Arash Badie-Modiri, Chiara Boldrini, Lorenzo Valerio +2
Fully decentralised federated learning enables collaborative training of individual machine learning models on a distributed network of communicating devices while keeping the trai…
Impact of network topology on the performance of Decentralized Federated Learning
Luigi Palmieri, Chiara Boldrini, Lorenzo Valerio +2
Fully decentralized learning is gaining momentum for training AI models at the Internet's edge, addressing infrastructure challenges and privacy concerns. In a decentralized machin…
On the Joint Effect of Culture and Discussion Topics on X (Twitter) Signed Ego Networks
Jack Tacchi, Chiara Boldrini, Andrea Passarella +1
Humans are known to structure social relationships according to certain patterns, such as the Ego Network Model (ENM). These patterns result from our innate cognitive limits and ca…
On the Potential of an Independent Avatar to Augment Metaverse Social Networks
Theofanis P. Raptis, Chiara Boldrini, Marco Conti +1
We present a computational modelling approach which targets capturing the specifics on how to virtually augment a Metaverse user's available social time capacity via using an indep…