Literature DB >> 12188771

Topology of the conceptual network of language.

Adilson E Motter1, Alessandro P S de Moura, Ying-Cheng Lai, Partha Dasgupta.   

Abstract

We define two words in a language to be connected if they express similar concepts. The network of connections among the many thousands of words that make up a language is important not only for the study of the structure and evolution of languages, but also for cognitive science. We study this issue quantitatively, by mapping out the conceptual network of the English language, with the connections being defined by the entries in a Thesaurus dictionary. We find that this network presents a small-world structure, with an amazingly small average shortest path, and appears to exhibit an asymptotic scale-free feature with algebraic connectivity distribution.

Entities:  

Year:  2002        PMID: 12188771     DOI: 10.1103/PhysRevE.65.065102

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  19 in total

1.  Scaling laws in emotion-associated words and corresponding network topology.

Authors:  Takuma Takehara; Fumio Ochiai; Naoto Suzuki
Journal:  Cogn Process       Date:  2014-11-16

2.  Topological analysis of large-scale biomedical terminology structures.

Authors:  Michael E Bales; Yves A Lussier; Stephen B Johnson
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

3.  What can graph theory tell us about word learning and lexical retrieval?

Authors:  Michael S Vitevitch
Journal:  J Speech Lang Hear Res       Date:  2008-04       Impact factor: 2.297

4.  How humans learn and represent networks.

Authors:  Christopher W Lynn; Danielle S Bassett
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-24       Impact factor: 11.205

5.  Evolving complexity: how tinkering shapes cells, software and ecological networks.

Authors:  Ricard Solé; Sergi Valverde
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-02-24       Impact factor: 6.237

6.  Clustering coefficients of lexical neighborhoods: Does neighborhood structure matter in spoken word recognition?

Authors:  Nicholas Altieri; Thomas Gruenenfelder; David B Pisoni
Journal:  Ment Lex       Date:  2010-11-01

7.  The semantic organization of the animal category: evidence from semantic verbal fluency and network theory.

Authors:  Joaquín Goñi; Gonzalo Arrondo; Jorge Sepulcre; Iñigo Martincorena; Nieves Vélez de Mendizábal; Bernat Corominas-Murtra; Bartolomé Bejarano; Sergio Ardanza-Trevijano; Herminia Peraita; Dennis P Wall; Pablo Villoslada
Journal:  Cogn Process       Date:  2010-10-12

8.  The influence of the phonological neighborhood clustering coefficient on spoken word recognition.

Authors:  Kit Ying Chan; Michael S Vitevitch
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-12       Impact factor: 3.332

9.  The lexical restructuring hypothesis and graph theoretic analyses of networks based on random lexicons.

Authors:  Thomas M Gruenenfelder; David B Pisoni
Journal:  J Speech Lang Hear Res       Date:  2009-04-20       Impact factor: 2.297

10.  Scale-invariant transition probabilities in free word association trajectories.

Authors:  Martin Elias Costa; Flavia Bonomo; Mariano Sigman
Journal:  Front Integr Neurosci       Date:  2009-09-11
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