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Massimo Stella

Associate Professor

University of Trento

Italy

Research Interests

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Articles (30)

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Collaborators (22)

Chico Quevedo Camargo

Lecturer in Computer Science

University of Exeter

UNITED KINGDOM

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Daniele Marinazzo

Full professor

Ghent University

BELGIUM

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Michael Vitevitch

Professor

University of Kansas

UNITED STATES

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Enrico Perinelli

University of Trento

ITALY

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Giuseppe Riva

Full Professor

Università Cattolica del Sacro Cuore

ITALY

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Giuseppe Alessandro Veltri

Professor

Università degli Studi di Torino

ITALY

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Franco Fraccaroli

University of Trento

ITALY

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Yoed Kenett

Associate Professor

Technion - Israel Institute of Technology

ISRAEL

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Giancarlo Francesco RUFFO

Full Professor

Università degli Studi del Piemonte Orientale

ITALY

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Andrea Bizzego

University of Trieste

ITALY

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Ottavia M. Epifania

University of Trento

ITALY

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Wolfgang Aschauer

University of Applied Sciences Upper Austria

AUSTRIA

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Thomas Hills

Professor

University of Warwick

UNITED KINGDOM

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Kelsie T. Forbush

UNITED STATES

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Giulio Rossetti

Senior Researcher

Istituto di scienza e tecnologie dell'informazione Alessandro Faedo

ITALY

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David Watson

University of Notre Dame

UNITED STATES

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Fabio Scarpa

University of Sassari

ITALY

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Alessandro Carollo

University of Trieste

ITALY

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Cynthia S. Q. Siew

Assistant Professor

National University of Singapore (NUS)

SINGAPORE

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Antonello MARUOTTI

Full Professor in Statistics

Libera Università Maria Santissima Assunta

ITALY

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Alessandro Grecucci

Docenti di ruolo di IIa fascia

University of Bari Aldo Moro

ITALY

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Federico Botta

Senior lecturer in data science

University of Exeter

UNITED KINGDOM

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Massimo Stella

Research Interests

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Articles (30)

Reddit Depression Communities as Spaces of Emotion Regulation: A Data-Informed Analysis of Coping and Engagement

Beyond Creativity Scores: Exploring PRE–POST Differences in Teachers’ Semantic Networks After SCIP Training

Cognitive networks highlight differences and similarities in the STEM mindsets of human and LLM-simulated trainees, experts and academics

Cognitive networks identify AI biases on societal issues in Large Language Models

SpreadPy: A Python tool for modelling spreading activation and superdiffusion in cognitive multiplex networks

Hardwired for suspicion. Network-level markers of paranoid personality traits revealed by multimodal machine-learning

Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data‐ and Cognitive Scientists

Emotional drivers of misinformation consumption and toxicity on YouTube

The Word-Sentence-Construction Task Versus the Verbal Fluency Task: Capturing Features of Scientific Creativity via Semantic Networks

Lagged predictors of psychological capital in junior high school students: A supervised Machine Learning approach

Emotional content and semantic structure of dialogues are associated with Interpersonal Neural Synchrony in the Prefrontal Cortex

EmoAtlas: An emotional network analyzer of texts that merges psychological lexicons, artificial intelligence, and network science

The Role of AI-Based Chatbots in Public Health Emergencies: A Narrative Review

Cognitive Networks and Text Analysis Identify Anxiety as a Key Dimension of Distress in Genuine Suicide Notes

Benchmarking Psychological Lexicons and Large Language Models for Emotion Detection in Brazilian Portuguese

A Network Psychometric Analysis of Math Anxiety Factors in Italian Psychology Students

Exploring the Link Between the Emotional Recall Task and Mental Health in Humans and LLMs

A cognitive multiplex network approach to investigate mental navigation and predict high-level cognition

Covarying gray and white matter networks characterize schizophrenia and bipolar disorders on a continuum: A data fusion machine learning approach and a brain network analysis

Introducing CounseLLMe: A dataset of simulated mental health dialogues for comparing LLMs like Haiku, LLaMAntino and ChatGPT against humans

Cognitive Network Science Reveals Bias in GPT-3, GPT-3.5 Turbo, and GPT-4 Mirroring Math Anxiety in High-School Students

Cognitive Networks Extract Insights on COVID-19 Vaccines from English and Italian Popular Tweets: Anticipation, Logistics, Conspiracy and Loss of Trust

Natural Language Processing and Cognitive Networks Identify UK Insurers’ Trends in Investor Day Transcripts

Knowledge Modelling and Learning through Cognitive Networks

DASentimental: Detecting Depression, Anxiety, and Stress in Texts via Emotional Recall, Cognitive Networks, and Machine Learning

Cognitive Network Science Reconstructs How Experts, News Outlets and Social Media Perceived the COVID-19 Pandemic

<i>#lockdown</i>: Network-Enhanced Emotional Profiling in the Time of COVID-19

Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth

Multiplex networks quantify robustness of the mental lexicon to catastrophic concept failures, aphasic degradation and ageing

Forma Mentis Networks Reconstruct How Italian High Schoolers and International STEM Experts Perceive Teachers, Students, Scientists, and School

Collaborators (22)

Chico Quevedo Camargo

Daniele Marinazzo

Michael Vitevitch

Enrico Perinelli

Giuseppe Riva

Giuseppe Alessandro Veltri

Franco Fraccaroli

Yoed Kenett

Giancarlo Francesco RUFFO

Andrea Bizzego

Ottavia M. Epifania

Wolfgang Aschauer

Thomas Hills

Kelsie T. Forbush

Giulio Rossetti

David Watson

Fabio Scarpa

Alessandro Carollo

Cynthia S. Q. Siew

Antonello MARUOTTI

Alessandro Grecucci

Federico Botta

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