3 citations · 4 across the 6 of their papers we have counts for
6 papers
Y Social: an LLM-powered Social Media Digital Twin
Giulio Rossetti, Massimo Stella, Rémy Cazabet +7
In this paper we introduce Y, a new-generation digital twin designed to replicate an online social media platform. Digital twins are virtual replicas of physical systems that allow…
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…
Redefining Event Types and Group Evolution in Temporal Data
Andrea Failla, Rémy Cazabet, Giulio Rossetti +1
Groups -- such as clusters of points or communities of nodes -- are fundamental when addressing various data mining tasks. In temporal data, the predominant approach for characteri…
Cognitive network science reveals bias in GPT-3, ChatGPT, and GPT-4 mirroring math anxiety in high-school students
Katherine Abramski, Salvatore Citraro, Luigi Lombardi +2
Large language models are becoming increasingly integrated into our lives. Hence, it is important to understand the biases present in their outputs in order to avoid perpetuating h…
Towards hypergraph cognitive networks as feature-rich models of knowledge
Salvatore Citraro, Simon De Deyne, Massimo Stella +1
Semantic networks provide a useful tool to understand how related concepts are retrieved from memory. However, most current network approaches use pairwise links to represent memor…
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…