Massimo Stella

Orcid: 0000-0003-1810-9699

According to our database1, Massimo Stella authored at least 49 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
Towards hypergraph cognitive networks as feature-rich models of knowledge.
EPJ Data Sci., December, 2023

Multiplex lexical networks and artificial intelligence unravel cognitive patterns of picture naming in people with anomic aphasia.
Cogn. Syst. Res., June, 2023

Who can help me? Reconstructing users' psychological journeys in depression-related social media interactions.
CoRR, 2023

Cognitive network science reveals bias in GPT-3, ChatGPT, and GPT-4 mirroring math anxiety in high-school students.
CoRR, 2023

Polarization and multiscale structural balance in signed networks.
CoRR, 2023

Cognitive Network Science Reveals Bias in GPT-3, GPT-3.5 Turbo, and GPT-4 Mirroring Math Anxiety in High-School Students.
Big Data Cogn. Comput., 2023

2022
Cognitive Network Science for Understanding Online Social Cognitions: A Brief Review.
Top. Cogn. Sci., 2022

Editorial: The Mental Lexicon, Blueprint of the Dictionaries of Tomorrow: Cognitive Aspects of the Lexicon.
Frontiers Artif. Intell., 2022

Natural Language Processing and Cognitive Networks Identify UK Insurers' Trends in Investor Day Transcripts.
Future Internet, 2022

Cognitive modelling with multilayer networks: Insights, advancements and future challenges.
CoRR, 2022

Writing about COVID-19 vaccines: Emotional profiling unravels how mainstream and alternative press framed AstraZeneca, Pfizer and vaccination campaigns.
CoRR, 2022

Feature-rich multiplex lexical networks reveal mental strategies of early language learning.
CoRR, 2022

Network psychometrics and cognitive network science open new ways for understanding math anxiety as a complex system.
J. Complex Networks, 2022

Cognitive Networks Extract Insights on COVID-19 Vaccines from English and Italian Popular Tweets: Anticipation, Logistics, Conspiracy and Loss of Trust.
Big Data Cogn. Comput., 2022

Knowledge Modelling and Learning through Cognitive Networks.
Big Data Cogn. Comput., 2022

Reviewing Theoretical and Generalizable Text Network Analysis: Forma Mentis Networks in Cognitive Science.
Proceedings of the NetSciLA 2022 Workshop "Networks and Learning Analytics: Addressing Educational Challenges" co-located with Learning Analytics and Knowledge (LAK 2022), 2022

2021
Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities.
CoRR, 2021

Network psychometrics and cognitive network science open new ways for detecting, understanding and tackling the complexity of math anxiety: A review.
CoRR, 2021

Cognitive networks identify the content of English and Italian popular posts about COVID-19 vaccines: Anticipation, logistics, conspiracy and loss of trust.
CoRR, 2021

Mapping computational thinking mindsets between educational levels with cognitive network science.
J. Complex Networks, 2021

DASentimental: Detecting Depression, Anxiety, and Stress in Texts via Emotional Recall, Cognitive Networks, and Machine Learning.
Big Data Cogn. Comput., 2021

2020
Cognitive Network Science Reconstructs How Experts, News Outlets and Social Media Perceived the COVID-19 Pandemic.
Syst., 2020

Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth.
PeerJ Comput. Sci., 2020

Text-mining forma mentis networks reconstruct public perception of the STEM gender gap in social media.
PeerJ Comput. Sci., 2020

Social discourse and reopening after COVID-19 A post-lockdown analysis of flickering emotions and trending stances in Italy.
First Monday, 2020

Unraveling the effects of multiscale network entanglement on disintegration of empirical systems.
CoRR, 2020

Revealing semantic and emotional structure of suicide notes with cognitive network science.
CoRR, 2020

#lockdown: network-enhanced emotional profiling at the times of COVID-19.
CoRR, 2020

Quantifying the Interplay of Semantics and Phonology During Failures of Word Retrieval by People With Aphasia Using a Multiplex Lexical Network.
Cogn. Sci., 2020

#lockdown: Network-Enhanced Emotional Profiling in the Time of COVID-19.
Big Data Cogn. Comput., 2020

2019
Investigating Peer and Sorting Effects within an Adaptive Multiplex Network Model.
Games, 2019

Reducing measles risk in Turkey through social integration of Syrian refugees.
CoRR, 2019

The multiplex structure of the mental lexicon influences picture naming in people with aphasia.
J. Complex Networks, 2019

Viability in Multiplex Lexical Networks and Machine Learning Characterizes Human Creativity.
Big Data Cogn. Comput., 2019

Modelling Early Word Acquisition through Multiplex Lexical Networks and Machine Learning.
Big Data Cogn. Comput., 2019

2018
Assessing the position tracking reliability of Carstens' AG500 and AG501 electromagnetic articulographs during constrained movements and speech tasks.
Speech Commun., 2018

Bots increase exposure to negative and inflammatory content in online social systems.
Proc. Natl. Acad. Sci. USA, 2018

Distance Entropy Cartography Characterises Centrality in Complex Networks.
Entropy, 2018

Individual perception dynamics in drunk games.
CoRR, 2018

Influence of augmented humans in online interactions during voting events.
CoRR, 2018

Bots sustain and inflate striking opposition in online social systems.
CoRR, 2018

Cohort and Rhyme Priming Emerge from the Multiplex Network Structure of the Mental Lexicon.
Complex., 2018

2017
Multiplex model of mental lexicon reveals explosive learning in humans.
CoRR, 2017

Parasite spreading in spatial ecological multiplex networks.
J. Complex Networks, 2017

2016
Multiplex lexical networks reveal patterns in early word acquisition in children.
CoRR, 2016

Mental Lexicon Growth Modelling Reveals the Multiplexity of the English Language.
Proceedings of the Complex Networks VII, 2016

2014
Patterns in the English Language: Phonological Networks, Percolation and Assembly Models.
CoRR, 2014

Investigating the Phonetic Organisation of the English Language via Phonological Networks, Percolation and Markov Models.
Proceedings of the 2014 European Conference on Complex Systems, 2014

2013
Electromagnetic articulography with AG500 and AG501.
Proceedings of the INTERSPEECH 2013, 2013


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