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cs.CL2026
How to predict creativity ratings from written narratives: A comparison of co-occurrence and textual forma mentis networks
Roberto Passaro, Edith Haim, Massimo Stella
This tutorial paper provides a step-by-step workflow for building and analysing semantic networks from short creative texts. We introduce and compare two widely used text-to-networ…
cs.CL2025
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…
cs.CL2025
Cognitive networks highlight differences and similarities in the STEM mindsets of human and LLM-simulated trainees, experts and academics
Edith Haim, Lars van den Bergh, Cynthia S. Q. Siew +3
Understanding attitudes towards STEM means quantifying the cognitive and emotional ways in which individuals, and potentially large language models too, conceptualise such subjects…