ReviewProceedings. Mathematical, physical, and engineering sciences2020
Contributions of modern network science to the cognitive sciences: revisiting research spirals of representation and process.
Review in Proceedings. Mathematical, physical, and engineering sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed.
- How Knowledge Structure and Form Shape Scientific Divergent Thinking: Evidence from Semantic Network Analysis and the Scientific Divergent Application Task.Journal of Intelligence · 2026Article
- Semantic memory network resilience in aging: The role of abstract and semantically diverse words.Cognition · 2026Article
- Leveraging relatedness-based measures in people with language disorders: A scoping review.Journal of neuropsychology · 2025Article
- Elucidating simulated equivalence responding through dynamic visualization of structural connectivity and relational density.Frontiers in artificial intelligence · 2025Article
- The social representation of the identity perception among China's new social strata: a central nucleus analysis.Frontiers in psychology · 2025Article
- Cognitive modelling of concepts in the mental lexicon with multilayer networks: Insights, advancements, and future challenges.Psychonomic bulletin & review · 2024Review
- The Effect of the COVID Pandemic on Clinical Psychology Research: A Bibliometric Analysis.Behavioral sciences (Basel, Switzerland) · 2024Review
- Evidence for optimal semantic search throughout adulthood.Scientific reports · 2023Article
- Aesthetic emotions are affected by context: a psychometric network analysis.Scientific reports · 2023Article
- Formalizing psychological interventions through network control theory.Scientific reports · 2023Article
- Age differences in semantic network structure: Acquiring knowledge shapes semantic memory.Psychology and aging · 2023Article
- From eye movements to scanpath networks: A method for studying individual differences in expository text reading.Behavior research methods · 2023Article
- Feature-rich multiplex lexical networks reveal mental strategies of early language learning.Scientific reports · 2023Article
- Structural differences in the semantic networks of younger and older adults.Scientific reports · 2022Article
- Knowledge Representations Derived From Semantic Fluency Data.Frontiers in psychology · 2022Review
- The Challenge of Achieving Greater Generalization in Phonological Treatment of Aphasia.Aphasiology · 2022Article
- Exploring the Complexity of Aphasia With Network Analysis.Journal of speech, language, and hearing research : JSLHR · 2021Article
- Revealing semantic and emotional structure of suicide notes with cognitive network science.Scientific reports · 2021Article
- Unveiling the nature of interaction between semantics and phonology in lexical access based on multilayer networks.Scientific reports · 2021Article
- Quantifying flexibility in thought: The resiliency of semantic networks differs across the lifespan.Cognition · 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
2 authors.
Funding
Abstract
Modelling the structure of cognitive systems is a central goal of the cognitive sciences-a goal that has greatly benefitted from the application of network science approaches. This paper provides an overview of how network science has been applied to the cognitive sciences, with a specific focus on the two research 'spirals' of cognitive sciences related to the
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.