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SpreadPy: A Python tool for modelling spreading activation and superdiffusion in cognitive multiplex networks
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DOI：10.1016/j.chbr.2026.100940.png)
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Abstract
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• Single-layer and multiplex network simulations via open-source Python tool. • Found interplay between math anxiety, associative knowledge and spreading activation. • Creativity task difficulty corresponds to varying activation levels and latency. • Aphasic naming errors are linked to multiplex network topology via simulations. • The superdiffusion regime highlights key differences when analysing clinical data.
Keywords:
Spreading activation
Multiplex networks
Computational cognitive modelling
Python simulation tool
Open-source
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