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Poznan Studies in Contemporary Linguistics

Editor-in-Chief: Dziubalska-Kolaczyk, Katarzyna

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Volume 50, Issue 2 (Jul 2014)


Network science as a method of measuring language complexity

Michael Vitevitch
  • Corresponding author
  • University of Kansas, Lawrence, United States
  • Email:
Published Online: 2014-07-21 | DOI: https://doi.org/10.1515/psicl-2014-0014


The physical, mathematical, and information sciences have developed a number of ways to measure complexity and complex systems in the social, biological, and physical domains. One way of measuring complex systems that might be useful to language scientists is the set of tools from the interdisciplinary field known as network science. A number of studies that have used the tools of network science to examine various aspects of language and language processing are summarized. It is acknowledged that much work must be done to use the tools of network science to address the debate about the (equal) complexity of languages. However, this work may prove useful to language scientists interested in the (equal) complexity of languages, as well as in other topics about language. Furthermore, the distinct structural characteristics observed in networks of several languages to date may also prove useful to network scientists as they try to understand how certain structural characteristics influence network dynamics in other domains. Language scientists are urged to embrace the techniques of network science to address the question of the complexity of languages.

Keywords: language complexity; network science; complex network; small world network

About the article

Received: 2014-01-09

Revised: 2014-06-02

Accepted: 2014-06-02

Published Online: 2014-07-21

Citation Information: Poznan Studies in Contemporary Linguistics, ISSN (Online) 1897-7499, ISSN (Print) 0137-2459, DOI: https://doi.org/10.1515/psicl-2014-0014. Export Citation

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