activity
20192026
most citedA survey on the impacts of recommender systems on users, items, and human-AI ecosystems

5 citations · 20 across the 18 of their papers we have counts for

collaborators
Showing cs.SIShow all

9 papers · 1 filter

cs.SI2024

Characterizing User Archetypes and Discussions on Scored.co

Andrea Failla, Salvatore Citraro, Giulio Rossetti +1

In recent years, the proliferation of social platforms has drastically transformed the way individuals interact, organize, and share information. In this scenario, we experience an…

cs.SI2024

From Perils to Possibilities: Understanding how Human (and AI) Biases affect Online Fora

Virginia Morini, Valentina Pansanella, Katherine Abramski +4

Social media platforms are online fora where users engage in discussions, share content, and build connections. This review explores the dynamics of social interactions, user-gener…

cs.SI2023★ 1 cited

Online posting effects: Unveiling the non-linear journeys of users in depression communities on Reddit

Virginia Morini, Salvatore Citraro, Elena Sajno +4

Social media platforms have become pivotal as self-help forums, enabling individuals to share personal experiences and seek support. However, on topics as sensitive as depression,…

cs.SI2023★ 1 cited

Structify-Net: Random Graph generation with controlled size and customized structure

Remy Cazabet, Salvatore Citraro, Giulio Rossetti

Network structure is often considered one of the most important features of a network, and various models exist to generate graphs having one of the most studied types of structure…

cs.SI2023

Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions

Andrea Failla, Salvatore Citraro, Giulio Rossetti

Recent advances in network science have resulted in two distinct research directions aimed at augmenting and enhancing representations for complex networks. The first direction, th…

cs.SI2021

Δ-Conformity: Multi-scale Node Assortativity in Feature-rich Stream Graphs

Salvatore Citraro, Letizia Milli, Rémy Cazabet +1

Heterogeneity is a key aspect of complex networks, often emerging by looking at the distribution of node properties, from the milestone observations on the degree to the recent dev…