5 citations · 20 across the 19 of their papers we have counts for
21 papers
Early Language Learning via Spreading Activation and Category Exploration in Complex Networks
Salvatore Citraro
Is word acquisition in children uneven with respect to semantic and lexical categories? To answer this question, we model early language learning as a search on a graph-based menta…
LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies
Alexis Carrillo, Salvatore Citraro, Ali Aghazhadeh Ardebili +5
Scarce longitudinal evidence examines LLMs' persuasiveness and humanness along time-evolving psychological frameworks. We introduce Talk2AI, a longitudinal framework quantifying ps…
SpreadPy: A Python tool for modelling spreading activation and superdiffusion in cognitive multiplex networks
Salvatore Citraro, Edith Haim, Alessandra Carini +3
We introduce SpreadPy as a Python library for simulating spreading activation in cognitive single-layer and multiplex networks. Our tool is designed to perform numerical simulation…
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated raters
Edith Haim, Natalie Fischer, Salvatore Citraro +2
Creativity is a fundamental skill of human cognition. We use textual forma mentis networks (TFMN) to extract network (semantic/syntactic associations) and emotional features from a…
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…
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…
A survey on the impacts of recommender systems on users, items, and human-AI ecosystems
Luca Pappalardo, Salvatore Citraro, Giuliano Cornacchia +12
Recommendation systems and assistants (in short, recommenders) influence through online platforms most actions of our daily lives, suggesting items or providing solutions based on…
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…
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,…
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…
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…
Cognitive modelling with multilayer networks: Insights, advancements and future challenges
Massimo Stella, Salvatore Citraro, Giulio Rossetti +3
The mental lexicon is a complex cognitive system representing information about the words/concepts that one knows. Decades of psychological experiments have shown that conceptual a…
Feature-rich multiplex lexical networks reveal mental strategies of early language learning
Salvatore Citraro, Michael S. Vitevitch, Massimo Stella +1
Knowledge in the human mind exhibits a dualistic vector/network nature. Modelling words as vectors is key to natural language processing, whereas networks of word associations can…
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…
Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities
Simmi Marina Joseph, Salvatore Citraro, Virginia Morini +2
Writing messages is key to expressing feelings. This study adopts cognitive network science to reconstruct how individuals report their feelings in clinical narratives like suicide…
Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks
Giulio Rossetti, Salvatore Citraro, Letizia Milli
Unveil the homophilic/heterophilic behaviors that characterize the wiring patterns of complex networks is an important task in social network analysis, often approached studying th…
UTLDR: an agent-based framework for modeling infectious diseases and public interventions
Giulio Rossetti, Letizia Milli, Salvatore Citraro +1
Nowadays, due to the SARS-CoV-2 pandemic, epidemic modelling is experiencing a constantly growing interest from researchers of heterogeneous fields of study. Indeed, the vast liter…
Eva: Attribute-Aware Network Segmentation
Salvatore Citraro, Giulio Rossetti
Identifying topologically well-defined communities that are also homogeneous w.r.t. attributes carried by the nodes that compose them is a challenging social network analysis task.…