ArticleScientific reports2018
Multiplex model of mental lexicon reveals explosive learning in humans.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed.
- Unraveling the Network Signatures of Oncogenicity in Virus-Human Protein-Protein Interactions.Entropy (Basel, Switzerland) · 2025Article
- A cognitive multiplex network approach to investigate mental navigation and predict high-level cognition.Behavior research methods · 2025Article
- Complex meanings shape early noun and verb vocabulary structure and learning.Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale · 2025Article
- Cognitive modelling of concepts in the mental lexicon with multilayer networks: Insights, advancements, and future challenges.Psychonomic bulletin & review · 2024Review
- Evolution of the Moral Lexicon.Open mind : discoveries in cognitive science · 2024Article
- Using network science to examine audio-visual speech perception with a multi-layer graph.PloS one · 2024Article
- Two pathways in vocabulary development: Large-scale differences in noun and verb semantic structure.Cognitive psychology · 2023Article
- Feature-rich multiplex lexical networks reveal mental strategies of early language learning.Scientific reports · 2023Article
- The Resilience of the Phonological Network May Have Implications for Developmental and Acquired Disorders.Brain sciences · 2023Article
- Verb vocabularies are shaped by complex meanings from the onset of development.CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference · 2023Article
- K-clique percolation in free association networks and the possible mechanism behind the [Formula: see text] law.Scientific reports · 2022Article
- Article
- What Can Network Science Tell Us About Phonology and Language Processing?Topics in cognitive science · 2022Article
- Article
- What Do Cognitive Networks Do? Simulations of Spoken Word Recognition Using the Cognitive Network Science Approach.Brain sciences · 2021Article
- Unveiling the nature of interaction between semantics and phonology in lexical access based on multilayer networks.Scientific reports · 2021Article
- Semantic memory: A review of methods, models, and current challenges.Psychonomic bulletin & review · 2021Review
- Analysis of English free association network reveals mechanisms of efficient solution of Remote Association Tests.PloS one · 2021Article
- Word Distance Affects Subjective Temporal Distance.Frontiers in psychology · 2021Article
- An approach to the permeation mechanism of learning transfer and teaching strategy in physical education based on complex network.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Word similarities affect language acquisition and use in a multi-relational way barely accounted for in the literature. We propose a multiplex network representation of this mental lexicon of word similarities as a natural framework for investigating large-scale cognitive patterns. Our representation accounts for semantic, taxonomic, and phonological interactions and it identifies a cluster of words which are used with greater frequency, are identified, memorised, and learned more easily, and have more meanings than expected at random. This cluster emerges around age 7 through an explosive transition not reproduced by null models. We relate this explosive emergence to polysemy - redundancy in word meanings. Results indicate that the word cluster acts as a core for the lexicon, increasing both lexical navigability and robustness to linguistic degradation. Our findings provide quantitative confirmation of existing conjectures about core structure in the mental lexicon and the importance of integrating multi-relational word-word interactions in psycholinguistic frameworks.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.