Language networks: Their structure, function, and evolution
Several important recent advances in various sciences (particularly biology and physics) are based on complex network analysis, which provides tools for characterising statistical properties of networks and explaining how they may arise. This article examines the relevance of this trend for the study of human languages. We review some early efforts to build up language networks, characterise their properties, and show in which direction models are being developed to explain them. These insights are relevant, both for studying fundamental unsolved puzzles in cognitive science, in particular the origins and evolution of language, but also for recent data-driven statistical approaches to natural language.
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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | documento de trabajo biblioteca |
| Language: | English |
| Published: |
Santa Fe Institute
2005
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| Subjects: | Language, Evolution, Neural networks, Complex networks, Syntax, |
| Online Access: | http://hdl.handle.net/10261/127923 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/100011419 |
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