4 citations · 6 across the 20 of their papers we have counts for
8 papers · 1 filter
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…