Global and local features of semantic networks: Evidence from the Hebrew mental lexicon

PLoS ONE

Volumn 6, Issue 8, 2011, Pages

  Kenett, Yoed N ^a   Kenett, Dror Y ^b   Ben Jacob, Eshel ^b   Faust, Miriam ^a  

^a BAR ILAN UNIVERSITY   (Israel)

^b TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ASSOCIATION; COGNITION; CORRELATION ANALYSIS; HEBREW; HUMAN; LANGUAGE; SEMANTIC MEMORY; WORD RECOGNITION; CLUSTER ANALYSIS; JEW; SEMANTICS;

CLUSTER ANALYSIS; COGNITION; HUMANS; JEWS; LANGUAGE; SEMANTICS;

EID: 80052001773     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0023912     Document Type: Article

References (55)

1. Anderson JR, (2000) Learning and memory: An integrated approach New York, New York Wiley.
2. Brown AS, (1991) A review of the tip-of-the-tongue experience. Psych B109 (2): 204-223.
3. Newell A, Simon HA, (1972) Human problem solving Englewood Cliffs N. J. Prentice Hall.
4. Rogers T, (2008) Computational models of semantic memory. In: Sun R, editors. The Cambridge Handbook of Computational Psychology Cambridge University Press: Cambridge, UK pp. 226-267.
5. Rubinstein O, Anaki D, Henik A, Drori S, Farn I, (2005) Norms to free associations in Hebrew. In: Henik A, Rubinstein O, Anaki D, editors. Word norms in Hebrew Ben-Gurion University [in Hebrew] pp. 17-35.
6. Rosch E, Mervis CB, Gray W, Johnson D, Boyes-Braem P, (1976) Basic objects in natural categories. Cog Psych 8: 382-439.
7. Collins AM, Loftus EF, (1975) A spreading-activation theory of semantic processing. Psych Rev 82: 407-428.
8. Collins AM, Quillian MR, (1969) Retrieval time from semantic memory. J Verbal Learning Verbal Behavior 8: 240-247.
9. Borge-Holthoefer J, Arenas A, (2010) Semantic networks: Structure and dynamics. Entropy 12: 1264-1302.
10. Den-Heyer K, Briand K, (1986) Priming single digit numbers: Automatic spreading activation dissipates as a function of distance between prime and target. American J Psych 99 (5): 515-540.
11. Balota DA, Lorch RF, (1986) Depth of automatic spreading activation: Mediated priming effects in pronunciation but not in lexical decision. J Exp Psych: Learning, Memory Cognition 12 (3): 336-345.
12. De-Groot AMB, (1989) Representational aspects of word imageability and word frequency as assessed through word associations. J Exp Psych: Learning, Memory Cognition 15 (5): 824-845.
13. Lorch RF, (1982) Priming and search processes in semantic memory: A test of three models of spreading activation. J Verbal Learning Verbal Behavior 21: 468-492.
14. Milgram S, (1967) The small world problem. Psych Today 1: 62-67.
15. Watts DJ, Strogatz SH, (1998) Collective dynamics of 'small-world' networks. Nature 393 (4): 440-442.
16. Boccaletti S, Latora V, Moreno Y, Chavez M, Hwang DU, (2006) Complex networks: structure and dynamics. Physics Reports 424: 175-308.
17. Barabási AL, Albert R, (1999) Emergence of scaling in random networks. Science 286: 509-512.
18. Amaral LAN, Scala A, Barthélémy M, Stanley HE, (2000) Classes of small-world networks. Proc Natl Acad Sci USA 97: 11149-11152.
19. Steyvers M, Tenenbaum JB, (2005) The large scale structure of semantic networks: Statistical analyses and a model of semantic growth. Cog Science 29: 41-78.
20. Kello CT, Brown GDA, Ferrer-i-Cancho R, Holden J, Linkenkaer-Hansen K, et al. (2010) Scaling laws in cognitive sciences. Trends in Cognitive Sciences 14: 223-232.
21. Stam CJ, (2010) Characterization of anatomical and functional connectivity in the brain: A complex networks perspective. Intl J Psychphysio 77: 186-194.
22. Bales ME, Johnson SB, (2006) Graph theoretic modeling of large-scale semantic networks. J Biomed Info 39: 451-464.
23. De-Deyne S, Storms G, (2008) Word association: Network and Semantic properties. Behavior Research Methods 40 (1): 213-231.
24. Arbesman S, Strogatz SH, Vitevitch MS, (2010) The structure of phonological networks across multiple languages. Intl J Bifurcation Chaos 20 (3): 679-685.
25. Hills TT, Maouene M, Maouene J, Sheya A, Smith L, (2009) Longitudinal analysis of early semantic networks: Preferential attachment or preferential acquisition? Psych Science 20 (6): 729-739.
26. Borge-Holthoefer J, Arenas A, (2009) Navigating word association norms to extract semantic information. In Proceedings of the 31st Annual Conference of the Cognitive Science Society, Amsterdam, The Netherlands.
27. Goni J, Artincorena I, Corominas-Murtra B, Arrondo G, Ardanza-Trevijano S, et al. (2010) Switcher-random-walks: A cognitive-inspired mechanism for network exploration. Intl J Bifurcation Chaos 20 (3): 913-922.
28. Griffiths TL, Steyvers M, Firl A, (2007) Google and the mind - Predicting fluency with PageRank. Psych Science 18 (12): 1069-1076.
29. Brin S, Page L, (1998) The anatomy of a large scale hypertextual web search engine. Computer networks and ISDN systems 30: 107-117.
30. Schilling M, (2005) A "small-world" network model of cognitive insight. Creativity Research Journal 17 (2&3): 131-154.
31. Wallas G, (1926) The art of thought London Jonathan Cape.
32. Regier T, Kay P, (2009) Language, thought, and color: Whorf was half right. Trends in Cognitive Science 13 (10): 439-446.
33. Tan LH, Chan AHD, Kay P, Khong PL, Yip LKC, et al. (2008) Language affects patterns of brain activation associated with perceptual decision. Proc Natl Acad Sci USA 105 (10): 4004-4009.
34. Mednick SA, (1962) The associative basis of the creative process. Psych Rev 69 (3): 220-232.
35. Nelson DL, McEvory CL, Schreiber TA, (1999) The University of South Florida word association norms. Retrieved fromhttp://w3.usf.edu/FreeAssociation.
36. Coronnello C, Tumminello M, Lillo F, Miccichè S, Mantegna RN, (2005) Sector identification in a set of stock return time series traded at the London Stock Exchange. Acta Physica Polonica B 36 (9): 2653-2679.
37. De-Jung H, (2002) Modeling and simulation of genetic regulatory systems: A literature review. J Comp Bio 9 (1): 67-103.
38. Mantegna RN, (1999) Hierarchical structure in financial markets. Euro P J 11 (1): 193-197.
39. Ortega GJ, Sola RG, Pastor J, (2008) Complex network analysis of human ECoG data. Neuroscience Letters 447 (2-3): 129-133.
40. Tumminello M, Coronnello C, Lillo F, Miccichè S, Mantegna RN, (2007) Spanning trees and bootstrap reliability estimation in correlation based networks. Intl J Bifurcation Chaos 17 (7): 2319-2329.
41. West DB, (2001) An Introduction to Graph Theory Prentice-Hall, Englewood Cliffs, NJ.
42. Tumminello M, Aste T, Di Matteo T, Mantegna RN, (2005) A tool for filtering information in complex systems. Proc Natl Acad Sci USA 102 (30): 10421-10426.
43. Rubinov M, Sporns O, (2010) Complex network measures of brain connectivity: Uses and interpretations. Neuro Image 52: 1059-1069 Retrieved fromhttp://www.brain-connectivity-toolbox.net.
44. Clauset A, Shalizi CR, Newman MEJ, (2009) Power-law distributions in empirical data. SIAM Review 51 (4): 661-703 Retrieved from:http://tuvalu.santafe.edu/~aaronc/powerlaws/.
45. Humphries MD, Gurney K, (2008) Network 'small-world-ness': A quantitive method for determining canonical network equivalent. PLoS ONE 3 (4): 1-10.
46. Newman MEJ, (2006) Modularity and community structure in networks. Proc Natl Acad Sci USA 103: 8577-8582.
47. Henik A, Kaplan L, (2005) Content of categories: Findings regarding categories in Hebrew and comparison findings in the USA. In: Henik A, Rubinstein O, Anaki D, editors. Word norms in Hebrew Ben-Gurion University [in Hebrew] pp. 52-67.
48. Kenett DY, Tumminello M, Madi A, Gur-Gershgoren G, Mantegna RN, et al. (2010) Dominating clasp of the financial sector revealed by partial correlation analysis of the stock market. PLoS ONE 5 (12): 1-14.
49. Shapira Y, Kenett DY, Ben-Jacob E, (2009) The index cohesive effect on stock market correlations. Euro J P B 72 (4): 657-669.
50. Baba K, Shibata R, Sibuya M, (2004) Partial correlation and conditional correlation as measures of conditional independence. Aust New Zealand J Stat 46 (4): 657-774.
51. Chou Y, (1975) Statistical Analysis Holt, Reinhart and Winston, New York.
52. Okabe H, Satoh S, Kato T, Kitahara O, Yanagawa R, et al. (2001) Genome-wide analysis of gene expression in Human hepatocellular carcinomas using cDNA microarray: Identification of genes involved in viral carcinogénesis and tumor progression. Cancer Research 61: 2129-2137.
53. Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, et al. (2003) Cytoscape: A software for integrated models of biomolecular interaction networks. Genome Research 13 (11): 2498-2504.
54. Dijksterhuis A, Nordgren LE, (2006) A theory of unconscious thought. Persp Psych Science 1 (2): 95-109.
55. Barttfeld P, Wicker B, Cukier S, Navarta S, Lew S, et al. (2011) A big-world network in ASD: Dynamical connectivity analysis reflects a deficit in long-range connections and an access of short-range connections. Neuropsychologia 49: 254-263.