5 citations · 20 across the 19 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…