509 citations · 1.1k across the 30 of their papers we have counts for
5 papers · 1 filter
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…
DASentimental: Detecting depression, anxiety and stress in texts via emotional recall, cognitive networks and machine learning
Asra Fatima, Li Ying, Thomas Hills +1
Most current affect scales and sentiment analysis on written text focus on quantifying valence (sentiment) -- the most primary dimension of emotion. However, emotions are broader a…
Network psychometrics and cognitive network science open new ways for detecting, understanding and tackling the complexity of math anxiety: A review
Massimo Stella
Math anxiety is a clinical pathology impairing cognitive processing in math-related contexts. Originally thought to affect only inexperienced, low-achieving students, recent invest…
Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trust
Massimo Stella, Michael S. Vitevitch, Federico Botta
Monitoring social discourse about COVID-19 vaccines is key to understanding how large populations perceive vaccination campaigns. We focus on 4765 unique popular tweets in English…
Cognitive network science for understanding online social cognitions: A brief review
Massimo Stella
Social media are digitalising massive amounts of users' cognitions in terms of timelines and emotional content. Such Big Data opens unprecedented opportunities for investigating co…