activity
20192022
most citedCognitive modelling with multilayer networks: Insights, advancements and future challenges

5 citations · 9 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CL20225 cited

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…

cs.CL20223 cited

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…

cs.CL20211 cited

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…

cs.SI2020

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…

cs.SI2020

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…

cs.SI2019

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.…