Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics
暂无分享,去创建一个
[1] Danielle S Bassett,et al. Process reveals structure: How a network is traversed mediates expectations about its architecture , 2017, Scientific Reports.
[2] Dirk U. Wulff,et al. New Perspectives on the Aging Lexicon , 2019, Trends in Cognitive Sciences.
[3] Danielle S. Bassett,et al. Knowledge gaps in the early growth of semantic feature networks , 2018, Nature Human Behaviour.
[4] D. Bassett,et al. Control of Dynamics in Brain Networks , 2017, 1701.01531.
[5] Thomas L. Griffiths,et al. Empirical Evidence for Markov Chain Monte Carlo in Memory Search , 2014, CogSci.
[6] M. Kearns,et al. An Experimental Study of the Coloring Problem on Human Subject Networks , 2006, Science.
[7] W. Batchelder,et al. Predicting Clustering From Semantic Structure , 1993 .
[8] Thomas T. Hills,et al. Dynamic search and working memory in social recall. , 2012, Journal of experimental psychology. Learning, memory, and cognition.
[9] Markus Brede,et al. Multiplex lexical networks reveal patterns in early word acquisition in children , 2016, Scientific Reports.
[10] Duncan J. Watts,et al. Collective dynamics of ‘small-world’ networks , 1998, Nature.
[11] Haitao Liu,et al. Statistical properties of Chinese phonemic networks , 2011 .
[12] Jean M. Vettel,et al. Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function , 2017, bioRxiv.
[13] D. Balota,et al. Depth of Automatic Spreading Activation: Mediated Priming Effects in Pronunciation but Not in Lexical Decision , 1986 .
[14] K. Gurney,et al. Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence , 2008, PloS one.
[15] Yoed N. Kenett,et al. Critical tipping point distinguishing two types of transitions in modular network structures. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.
[16] O. Sporns,et al. Network hubs in the human brain , 2013, Trends in Cognitive Sciences.
[17] Mark S. Seidenberg,et al. Semantic feature production norms for a large set of living and nonliving things , 2005, Behavior research methods.
[18] Cynthia S. Q. Siew,et al. spreadr: An R package to simulate spreading activation in a network , 2019, Behavior Research Methods.
[19] Jon A. Willits,et al. Models of Semantic Memory , 2015 .
[20] Nash Unsworth,et al. Examining the dynamics of strategic search from long-term memory , 2017 .
[21] Mathias Benedek,et al. How semantic memory structure and intelligence contribute to creative thought: a network science approach , 2017 .
[22] Yoed N. Kenett,et al. Rigidity, chaos and integration: hemispheric interaction and individual differences in metaphor comprehension , 2014, Frontiers in Human Neuroscience.
[23] John D Medaglia,et al. Clarifying cognitive control and the controllable connectome. , 2018, Wiley interdisciplinary reviews. Cognitive science.
[24] F. Craik,et al. Cognition through the lifespan: mechanisms of change , 2006, Trends in Cognitive Sciences.
[25] F. Durso,et al. Graph-Theoretic Confirmation of Restructuring During Insight , 1994 .
[26] John R. Anderson. ACT: A simple theory of complex cognition. , 1996 .
[27] Gary S. Dell,et al. Connectionist models of language production: lexical access and grammatical encoding , 1999, Cogn. Sci..
[28] Yoed N. Kenett,et al. Flexibility of thought in high creative individuals represented by percolation analysis , 2018, Proceedings of the National Academy of Sciences.
[29] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[30] Christopher D. Manning,et al. Probabilistic models of language processing and acquisition , 2006, Trends in Cognitive Sciences.
[31] Yoed N. Kenett,et al. Semantic organization in children with cochlear implants: computational analysis of verbal fluency , 2013, Front. Psychol..
[32] Nicole M. Long,et al. A four-component model of age-related memory change. , 2016, Psychological review.
[33] D. Jackson-Maldonado,et al. MacArthur‐Bates Communicative Development Inventories , 2012 .
[34] Thomas T. Hills,et al. The Associative Structure of Language: Contextual Diversity in Early Word Learning. , 2010, Journal of memory and language.
[35] Wenwen Li,et al. Chinese Syntactic and Typological Properties Based on Dependency Syntactic Treebanks , 2009 .
[36] S. Pinker,et al. The faculty of language: what's special about it? , 2005, Cognition.
[37] Albert-László Barabási,et al. Network science: Luck or reason , 2012, Nature.
[38] Eiko I. Fried,et al. Estimating psychological networks and their accuracy: A tutorial paper , 2016, Behavior research methods.
[39] Martin G. Everett,et al. A Graph-theoretic perspective on centrality , 2006, Soc. Networks.
[40] Henry G. Small,et al. Visualizing Science by Citation Mapping , 1999, J. Am. Soc. Inf. Sci..
[41] D. Long. Networks of the Brain , 2011 .
[42] Michael N Jones,et al. Representing word meaning and order information in a composite holographic lexicon. , 2007, Psychological review.
[43] L. Steels. Modeling the cultural evolution of language. , 2011, Physics of life reviews.
[44] Yoed N. Kenett,et al. Global and Local Features of Semantic Networks: Evidence from the Hebrew Mental Lexicon , 2011, PloS one.
[45] I. Koponen,et al. Coherent Knowledge Structures of Physics Represented as Concept Networks in Teacher Education , 2010 .
[46] Yuen Ren Chao,et al. Human Behavior and the Principle of Least Effort: An Introduction to Human Ecology , 1950 .
[47] Gert Storms,et al. Word associations: Network and semantic properties , 2008, Behavior research methods.
[48] Michael S. Vitevitch,et al. The Structure of Phonological Networks across Multiple Languages , 2009, Int. J. Bifurc. Chaos.
[49] Edward T. Bullmore,et al. Modular and Hierarchically Modular Organization of Brain Networks , 2010, Front. Neurosci..
[50] Carol Conrad. Cognitive Economy in Semantic Memory. , 1972 .
[51] Yoed N. Kenett. Investigating Creativity from a Semantic Network Perspective , 2018 .
[52] Eliana Colunga,et al. Modeling Lexical Acquisition Through Networks , 2015, CogSci.
[53] Ernesto Estrada,et al. Network robustness to targeted attacks. The interplay of expansibility and degree distribution , 2006 .
[54] Alexander P. Christensen. NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis in R , 2019 .
[55] M. Vitevitch. What can graph theory tell us about word learning and lexical retrieval? , 2008, Journal of speech, language, and hearing research : JSLHR.
[56] Yoed N. Kenett,et al. Remotely Close Associations: Openness to Experience and Semantic Memory Structure , 2018, European Journal of Personality.
[57] Lawrence A. Palinkas,et al. Social Network Analysis for Program Implementation , 2015, PloS one.
[58] Shiri Lev-Ari,et al. Social network size can influence linguistic malleability and the propagation of linguistic change , 2018, Cognition.
[59] Cynthia S. Q. Siew,et al. Journal of Experimental Psychology : Learning , Memory , and Cognition Spoken Word Recognition and Serial Recall of Words From Components in the Phonological Network , 2015 .
[60] Haitao Liu,et al. Language clustering with word co-occurrence networks based on parallel texts , 2013 .
[61] Allan Collins,et al. A spreading-activation theory of semantic processing , 1975 .
[62] M. Ross Quillian,et al. The teachable language comprehender: a simulation program and theory of language , 1969, CACM.
[63] Cohen,et al. Resilience of the internet to random breakdowns , 2000, Physical review letters.
[64] J. Borge-Holthoefer,et al. Modeling Abnormal Priming in Alzheimer's Patients with a Free Association Network , 2011, PloS one.
[65] N. Christakis,et al. The Spread of Obesity in a Large Social Network Over 32 Years , 2007, The New England journal of medicine.
[66] Yoed N. Kenett,et al. The Hyper-Modular Associative Mind: A Computational Analysis of Associative Responses of Persons with Asperger Syndrome , 2016, Language and speech.
[67] Cynthia S. Q. Siew. The orthographic similarity structure of English words: Insights from network science , 2018, Appl. Netw. Sci..
[68] S. Suter. Meaningful differences in the everyday experience of young American children , 2005, European Journal of Pediatrics.
[69] Joshua B. Tenenbaum,et al. Building machines that learn and think like people , 2016, Behavioral and Brain Sciences.
[70] Thomas T. Hills,et al. Structural differences in the semantic networks of younger and older adults , 2018, Scientific reports.
[71] Haitao Liu,et al. How does language change as a lexical network? An investigation based on written Chinese word co-occurrence networks , 2018, PloS one.
[72] M. Ross Quillian,et al. Retrieval time from semantic memory , 1969 .
[73] Yoed N. Kenett,et al. "Forward flow": A new measure to quantify free thought and predict creativity. , 2018, The American psychologist.
[74] Steve Majerus,et al. Verbal short-term memory reflects the sublexical organization of the phonological language network: Evidence from an incidental phonotactic learning paradigm , 2004 .
[75] Thomas T. Hills,et al. The Aging Lexicon: Differences in the Semantic Networks of Younger and Older Adults , 2016, CogSci.
[76] C. Stam. Modern network science of neurological disorders , 2014, Nature Reviews Neuroscience.
[77] L. Freeman,et al. Centrality in social networks: ii. experimental results☆ , 1979 .
[78] Sharon L. Thompson-Schill,et al. Driving the brain towards creativity and intelligence: A network control theory analysis , 2018, Neuropsychologia.
[79] D. Watts. Networks, Dynamics, and the Small‐World Phenomenon1 , 1999, American Journal of Sociology.
[80] O. Sporns,et al. The economy of brain network organization , 2012, Nature Reviews Neuroscience.
[81] Haitao Liu,et al. Can syntactic networks indicate morphological complexity of a language , 2011 .
[82] M E J Newman,et al. Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[83] T. Griffiths,et al. Google and the Mind , 2007, Psychological science.
[84] G S Dell,et al. A spreading-activation theory of retrieval in sentence production. , 1986, Psychological review.
[85] M R Quillian,et al. Word concepts: a theory and simulation of some basic semantic capabilities. , 1967, Behavioral science.
[86] Kenneth I. Forster,et al. Chapter 21 Memory-addressing Mechanisms and Lexical Access , 1992 .
[87] A. Pentland,et al. Computational Social Science , 2009, Science.
[88] Melissa A. Schilling. A "Small-World" Network Model of Cognitive Insight , 2005 .
[89] Danny Jones,et al. Words in the mind: An introduction to the mental lexicon , 2004, Machine Translation.
[90] Cynthia S. Q. Siew,et al. Using network science to analyze concept maps of psychology undergraduates , 2018, Applied Cognitive Psychology.
[91] Cynthia S. Q. Siew,et al. Application of network analysis to identify interactive systems of eating disorder psychopathology , 2016, Psychological Medicine.
[92] Danielle S. Bassett,et al. Knowledge gaps in the early growth of semantic networks , 2017, 1709.00133.
[93] Amy Beth Warriner,et al. Norms of valence, arousal, and dominance for 13,915 English lemmas , 2013, Behavior Research Methods.
[94] S. Roodenrys,et al. Complex network structure influences processing in long-term and short-term memory. , 2012, Journal of memory and language.
[95] Thomas T. Hills,et al. Search in External and Internal Spaces , 2008, Psychological science.
[96] Shiri Lev-Ari,et al. The influence of social network size on speech perception , 2018, Quarterly journal of experimental psychology.
[97] Holly L Storkel,et al. Developmental differences in the effects of phonological, lexical and semantic variables on word learning by infants* , 2008, Journal of Child Language.
[98] Joshua B. Tenenbaum,et al. The Large-Scale Structure of Semantic Networks: Statistical Analyses and a Model of Semantic Growth , 2001, Cogn. Sci..
[99] Joseph L. Austerweil,et al. Estimating Semantic Networks of Groups and Individuals from Fluency Data , 2018, Computational brain & behavior.
[100] Joshua T. Abbott,et al. Random walks on semantic networks can resemble optimal foraging. , 2015, Psychological review.
[101] Nick Chater,et al. Networks in Cognitive Science , 2013, Trends in Cognitive Sciences.
[102] Markus Brede,et al. Multiplex model of mental lexicon reveals explosive learning in humans , 2017, Scientific Reports.
[103] Michael S. Vitevitch,et al. Network Structure Influences Speech Production , 2010, Cogn. Sci..
[104] C. E. Veni Madhavan,et al. Understanding Human Navigation Using Network Analysis , 2012, Top. Cogn. Sci..
[105] Winter A. Mason,et al. Collaborative learning in networks , 2011, Proceedings of the National Academy of Sciences.
[106] D. Pisoni,et al. Recognizing Spoken Words: The Neighborhood Activation Model , 1998, Ear and hearing.
[107] Joseph L. Austerweil,et al. Do Humans Navigate via Random Walks? Modeling Navigation in a Semantic Word Game , 2018, CogSci.
[108] Michael S. Vitevitch,et al. The Influence of Closeness Centrality on Lexical Processing , 2015, Front. Psychol..
[109] M. Vitevitch,et al. The influence of the phonological neighborhood clustering coefficient on spoken word recognition. , 2009, Journal of experimental psychology. Human perception and performance.
[110] Cornelis J. Stam,et al. Structure out of chaos: Functional brain network analysis with EEG, MEG, and functional MRI , 2013, European Neuropsychopharmacology.
[111] Thomas T. Hills. Animal Foraging and the Evolution of Goal-Directed Cognition , 2006, Cogn. Sci..
[112] Michael S. Vitevitch,et al. The influence of clustering coefficient on word-learning: how groups of similar sounding words facilitate acquisition , 2014, Front. Psychol..
[113] V Latora,et al. Efficient behavior of small-world networks. , 2001, Physical review letters.
[114] Marco Gonzalez,et al. Author's Personal Copy Social Networks Tastes, Ties, and Time: a New Social Network Dataset Using Facebook.com , 2022 .
[115] Niloy Ganguly,et al. Modeling discrete combinatorial systems as alphabetic bipartite networks: theory and applications. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[116] Yoed N. Kenett,et al. A Semantic Network Cartography of the Creative Mind , 2019, Trends in Cognitive Sciences.
[117] Thomas T. Hills,et al. Small Worlds and Semantic Network Growth in Typical and Late Talkers , 2011, PloS one.
[118] Jon M. Kleinberg,et al. Navigation in a small world , 2000, Nature.
[119] Scott Barry Kaufman,et al. Openness to Experience and Intellect Differentially Predict Creative Achievement in the Arts and Sciences. , 2016, Journal of personality.
[120] Mark Newman,et al. Networks: An Introduction , 2010 .
[121] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[122] James L. McClelland,et al. A distributed, developmental model of word recognition and naming. , 1989, Psychological review.
[123] Cynthia S. Q. Siew,et al. The Phonographic Language Network: Using Network Science to Investigate the Phonological and Orthographic Similarity Structure of Language , 2019, Journal of experimental psychology. General.
[124] Haitao Liu. The complexity of Chinese syntactic dependency networks , 2008 .
[125] Eiko I. Fried,et al. Mental disorders as networks of problems: a review of recent insights , 2016, Social Psychiatry and Psychiatric Epidemiology.
[126] James L. McClelland,et al. Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.
[127] Thomas T. Hills,et al. Optimal foraging in semantic memory. , 2012, Psychological review.
[128] John R. Anderson. A spreading activation theory of memory. , 1983 .
[129] J. Tenenbaum,et al. Probabilistic models of cognition: exploring representations and inductive biases , 2010, Trends in Cognitive Sciences.
[130] T. Salthouse. Selective review of cognitive aging , 2010, Journal of the International Neuropsychological Society.
[131] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[132] Z. Wang,et al. The structure and dynamics of multilayer networks , 2014, Physics Reports.
[133] Gunes Ercal,et al. Simulating Retrieval from a Highly Clustered Network: Implications for Spoken Word Recognition , 2011, Front. Psychology.
[134] John J. L. Morton,et al. Interaction of information in word recognition. , 1969 .
[135] Cynthia S. Q. Siew,et al. The influence of 2-hop network density on spoken word recognition , 2017, Psychonomic bulletin & review.
[136] Yoed N. Kenett,et al. Structure and flexibility: Investigating the relation between the structure of the mental lexicon, fluid intelligence, and creative achievement. , 2016 .
[137] Albert-László Barabási,et al. Internet: Diameter of the World-Wide Web , 1999, Nature.
[138] Reinhard Köhler,et al. Patterns in syntactic dependency networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[139] Lael J. Schooler,et al. Mapping the Structure of Semantic Memory , 2013, Cogn. Sci..
[140] Ramon Ferrer i Cancho,et al. The small world of human language , 2001, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[141] Alexandre Arenas,et al. Semantic Networks: Structure and Dynamics , 2010, Entropy.
[142] A. Pentland,et al. Life in the network: The coming age of computational social science: Science , 2009 .
[143] Alexander Mehler,et al. Automatic Language Classification by means of Syntactic Dependency Networks , 2011, J. Quant. Linguistics.
[144] Kevin A. Smith,et al. Multiply-constrained semantic search in the Remote Associates Test , 2013, Cognition.
[145] Michael N. Jones,et al. Comparing models of semantic fluency: Do humans forage optimally, or walk randomly? , 2018, CogSci.
[146] Lluís Barceló-Coblijn,et al. Syntactic trees and small-world networks: syntactic development as a dynamical process , 2012, Adapt. Behav..
[147] Joseph L. Austerweil,et al. Examining Search Processes in Low and High Creative Individuals with Random Walks , 2016, CogSci.
[148] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[149] Jinyun Ke,et al. Analysing Language Development from a Network Approach* , 2006, J. Quant. Linguistics.
[150] Jing Luo,et al. Defining insight: A study examining implicit theories of insight experience. , 2017, Psychology of Aesthetics, Creativity, and the Arts.
[151] Daniel A. Braun,et al. Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences , 2014, Front. Hum. Neurosci..
[152] Joaquín Goñi,et al. The semantic organization of the animal category: evidence from semantic verbal fluency and network theory , 2011, Cognitive Processing.
[153] Thomas T. Hills,et al. Categorical structure among shared features in networks of early-learned nouns , 2009, Cognition.
[154] Sharon L. Thompson-Schill,et al. Implementing a concept network model , 2018, Behavior research methods.
[155] Thomas T. Hills,et al. Quantifying the Structure of Free Association Networks Across the Life Span , 2017, Developmental psychology.
[156] Cynthia S. Q. Siew. The orthographic similarity structure of English words , 2018 .
[157] Thomas T. Hills,et al. Worm holes in memory: Is memory one representation or many? , 2013, CogSci.
[158] S. N. Dorogovtsev,et al. Bootstrap percolation on complex networks. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[159] Niloy Ganguly,et al. MODELING THE CO-OCCURRENCE PRINCIPLES OF THE CONSONANT INVENTORIES: A COMPLEX NETWORK APPROACH , 2006, physics/0606132.
[160] Ulrik Brandes,et al. What is network science? , 2013, Network Science.
[161] Shilpa Chakravartula,et al. Complex Networks: Structure and Dynamics , 2014 .
[162] Sharon L. Thompson-Schill,et al. Local Patterns to Global Architectures: Influences of Network Topology on Human Learning Relating Two Approaches Complex Networks Are Pervasive Network Topology Influences Learning and Memory Local Statistics Underpin Network Architecture , 2022 .
[163] Max Coltheart,et al. Access to the internal lexicon , 1977 .
[164] Barbara W Sarnecka,et al. Toddlers prefer those who win but not when they win by force , 2018, Nature Human Behaviour.
[165] Raffael Kalisch,et al. A Dopaminergic Basis for Fear Extinction , 2019, Trends in Cognitive Sciences.
[166] Thomas A. Schreiber,et al. The University of South Florida free association, rhyme, and word fragment norms , 2004, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.
[167] Thomas T. Hills,et al. Feature Biases in Early Word Learning: Network Distinctiveness Predicts Age of Acquisition. , 2017, Cognitive science.
[168] M. A. Beauchamp. AN IMPROVED INDEX OF CENTRALITY. , 1965, Behavioral science.
[169] Ismo Koponen,et al. Concept networks in learning: finding key concepts in learners' representations of the interlinked structure of scientific knowledge , 2014, J. Complex Networks.
[170] Ricard V. Solé,et al. Complexity and fragility in ecological networks , 2000, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[171] C. T. Butts,et al. Revisiting the Foundations of Network Analysis , 2009, Science.
[172] Haitao Liu,et al. Approaching human language with complex networks. , 2014, Physics of life reviews.
[173] Jure Leskovec,et al. Human wayfinding in information networks , 2012, WWW.
[174] Denny Borsboom,et al. Mental Disorders as Causal Systems , 2015 .
[175] Morgan Sonderegger,et al. How children explore the phonological network in child-directed speech: A survival analysis of children's first word productions. , 2014, Journal of memory and language.
[176] Suzanne Stevenson,et al. Simple Search Algorithms on Semantic Networks Learned from Language Use , 2016, CogSci.
[177] D S Callaway,et al. Network robustness and fragility: percolation on random graphs. , 2000, Physical review letters.
[178] J. V. van Berkum,et al. How robust is the language architecture? The case of mood , 2013, Front. Psychol..
[179] Christopher T. Kello,et al. Scaling laws in cognitive sciences , 2010, Trends in Cognitive Sciences.
[180] Eliana Colunga,et al. Language Networks as Models of Cognition: Understanding Cognition through Language , 2016 .
[181] Tomaso Aste,et al. Network structure of the Wisconsin Schizotypy Scales–Short Forms: Examining psychometric network filtering approaches , 2018, Behavior research methods.
[182] Michael N. Jones,et al. Foraging in Semantic Fields: How We Search Through Memory , 2015, Top. Cogn. Sci..
[183] Mark Yates,et al. How the clustering of phonological neighbors affects visual word recognition. , 2013, Journal of experimental psychology. Learning, memory, and cognition.
[184] Yoed N. Kenett,et al. When pumpkin is closer to onion than to squash: The structure of the second language lexicon , 2016, Cognition.
[185] R. Harald Baayen,et al. The Myth of Cognitive Decline: Non-Linear Dynamics of Lifelong Learning , 2014, Top. Cogn. Sci..
[186] Aline Villavicencio,et al. Graph Analysis of Semantic Word Association among Children, Adults, and the Elderly , 2014 .
[187] Thomas T. Hills,et al. Hidden processes in structural representations: A reply to Abbott, Austerweil, and Griffiths (2015). , 2015, Psychological review.
[188] P. Johnson-Laird,et al. Only connections: A critique of semantic networks. , 1984 .
[189] Yoed N. Kenett,et al. The Semantic Distance Task: Quantifying Semantic Distance With Semantic Network Path Length , 2017, Journal of experimental psychology. Learning, memory, and cognition.
[190] Santo Fortunato,et al. Community detection in graphs , 2009, ArXiv.
[191] O. Sporns,et al. Network neuroscience , 2017, Nature Neuroscience.
[192] Stefan Richter,et al. Centrality Indices , 2004, Network Analysis.
[193] Michael S. Vitevitch,et al. Path-Length and the Misperception of Speech: Insights from Network Science and Psycholinguistics , 2016 .
[194] B. Desgranges,et al. When the zebra loses its stripes: Semantic priming in early Alzheimer's disease and semantic dementia , 2011, Cortex.
[195] Michael S. Vitevitch,et al. Insights into failed lexical retrieval from network science , 2014, Cognitive Psychology.
[196] D. Borsboom,et al. Network analysis: an integrative approach to the structure of psychopathology. , 2013, Annual review of clinical psychology.
[197] Christopher T. Kello,et al. Scale-Free Networks in Phonological and Orthographic Wordform Lexicons , 2007 .
[198] Ulrik Brandes,et al. Maintaining the duality of closeness and betweenness centrality , 2016, Soc. Networks.
[199] Haitao Liu,et al. Statistical properties of Chinese semantic networks , 2009 .
[200] Stephen P. Borgatti,et al. Centrality and network flow , 2005, Soc. Networks.
[201] Michael Ramscar,et al. The Mismeasurement of Mind: Life-Span Changes in Paired-Associate-Learning Scores Reflect the “Cost” of Learning, Not Cognitive Decline , 2017, Psychological science.
[202] Nichol Castro,et al. The multiplex structure of the mental lexicon influences picture naming in people with aphasia , 2019, J. Complex Networks.
[203] S N Dorogovtsev,et al. Language as an evolving word web , 2001, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[204] S. Mednick. The associative basis of the creative process. , 1962, Psychological review.
[205] M. Vitevitch,et al. Using network science in the language sciences and clinic , 2015, International journal of speech-language pathology.
[206] Rutherford Goldstein,et al. Keywords in the mental lexicon. , 2014, Journal of memory and language.
[207] Yoed N. Kenett,et al. Investigating the structure of semantic networks in low and high creative persons , 2014, Front. Hum. Neurosci..
[208] C. Hilgetag,et al. Hierarchical modular brain connectivity is a stretch for criticality , 2014, Trends in Cognitive Sciences.
[209] Haitao Liu,et al. Language clusters based on linguistic complex networks , 2010 .
[210] Stephen M. Kosslyn,et al. Semantic retrieval in children and adults. , 1975 .
[211] Eliana Colunga,et al. Using the words toddlers know now to predict the words they will learn next , 2013, CogSci.
[212] Andreas Wilke,et al. Exploration and Exploitation in Memory Search Across the Lifespan , 2011, CogSci.
[213] M E J Newman,et al. Identity and Search in Social Networks , 2002, Science.
[214] Sharon L. Thompson-Schill,et al. Dynamic Effects of Conceptual Combination on Semantic Network Structure , 2017, CogSci.
[215] Jennifer Neville,et al. Network Hypothesis Testing Using Mixed Kronecker Product Graph Models , 2013, 2013 IEEE 13th International Conference on Data Mining.
[216] Mark Steyvers,et al. Route choice in individuals - semantic network navigation , 2012, CogSci.
[217] Thomas T. Hills,et al. Longitudinal Analysis of Early Semantic Networks , 2009, Psychological science.
[218] Stephen P. Borgatti,et al. Identifying sets of key players in a social network , 2006, Comput. Math. Organ. Theory.
[219] Ricard V. Solé,et al. Language networks: Their structure, function, and evolution , 2007, Complex..
[220] W. A. Bousfield,et al. An Analysis of Sequences of Restricted Associative Responses , 1944 .
[221] S. Boccaletti,et al. Complex network theory and the brain , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.
[222] Joseph L. Austerweil,et al. U-INVITE: Estimating Individual Semantic Networks from Fluency Data , 2016, CogSci.
[223] G. Winocur,et al. Clustering and switching as two components of verbal fluency: evidence from younger and older healthy adults. , 1997, Neuropsychology.
[224] S. Thompson-Schill,et al. Putting concepts into context , 2016, Psychonomic bulletin & review.
[225] P. Baltes,et al. Emergence of a powerful connection between sensory and cognitive functions across the adult life span: a new window to the study of cognitive aging? , 1997, Psychology and aging.
[226] Daniel J. Navarro,et al. Large-Scale Network Representations of Semantics in the Mental Lexicon , 2017 .
[227] M. Newman. Power laws, Pareto distributions and Zipf's law , 2005 .
[228] George A. Miller,et al. WordNet: A Lexical Database for English , 1995, HLT.
[229] Nichol Castro,et al. Using complex networks to understand the mental lexicon , 2014 .
[230] Cynthia S. Q. Siew,et al. Using the OASES-A to illustrate how network analysis can be applied to understand the experience of stuttering. , 2017, Journal of communication disorders.
[231] Cynthia S. Q. Siew,et al. Community structure in the phonological network , 2013, Front. Psychol..