ArticleNature human behaviour2018
Knowledge gaps in the early growth of semantic feature networks.
Article in Nature human behaviour, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Biomedical Large Language Models and Prompt Engineering for Causality Assessment of Individual Case Safety Reports in Pharmacovigilance.Pharmaceutical research · 2026Article
- Identifying the perceived local properties of networks reconstructed from biased random walks.PloS one · 2024Article
- Feature-rich multiplex lexical networks reveal mental strategies of early language learning.Scientific reports · 2023Article
- Optimizing the human learnability of abstract network representations.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Quantifying the compressibility of complex networks.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Stability of synchronization in simplicial complexes.Nature communications · 2021Article
- Modeling Bilingual Lexical Processing Through Code-Switching Speech: A Network Science Approach.Frontiers in psychology · 2021Article
- How humans learn and represent networks.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Feature distinctiveness effects in language acquisition and lexical processing: Insights from megastudies.Cognitive processing · 2020Article
- The growth and form of knowledge networks by kinesthetic curiosity.Current opinion in behavioral sciences · 2020Article
- Architecture and evolution of semantic networks in mathematics texts.Proceedings. Mathematical, physical, and engineering sciences · 2020Article
- Contributions of modern network science to the cognitive sciences: revisiting research spirals of representation and process.Proceedings. Mathematical, physical, and engineering sciences · 2020Review
- Network architectures supporting learnability.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Forma mentis networks map how nursing and engineering students enhance their mindsets about innovation and health during professional growth.PeerJ. Computer science · 2020Article
- The multiplex structure of the mental lexicon influences picture naming in people with aphasia.Journal of complex networks · 2019Article
- Simplicial models of social contagion.Nature communications · 2019Article
- Does Scale-Free Syntactic Network Emerge in Second Language Learning?Frontiers in psychology · 2019Article
- The importance of the whole: Topological data analysis for the network neuroscientist.Network neuroscience (Cambridge, Mass.) · 2019Article
- Distance Entropy Cartography Characterises Centrality in Complex Networks.Entropy (Basel, Switzerland) · 2018Article
- Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data- and Cognitive Scientists.Wiley interdisciplinary reviews. Cognitive scienceReview
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Authors and funding
4 authors.
Funding
Abstract
Understanding language learning, and more general knowledge acquisition, requires characterization of inherently qualitative structures. Recent work has applied network science to this task by creating semantic feature networks, in which words correspond to nodes and connections to shared features, then characterizing the structure of strongly inter-related groups of words. However, the importance of sparse portions of the semantic network - knowledge gaps - remains unexplored. Using applied topology we query the prevalence of knowledge gaps, which we propose manifest as cavities within the growing semantic feature network of toddlers. We detect topological cavities of multiple dimensions and find that despite word order variation, global organization remains similar. We also show that nodal network measures correlate with filling cavities better than basic lexical properties. Finally, we discuss the importance of semantic feature network topology in language learning and speculate that the progression through knowledge gaps may be a robust feature of knowledge acquisition.
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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.