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Updated: Aug 15, 2026

State-Dependency Effects on TMS: A Look at Motive Phosphene Behavior
Published on: December 28, 2010
Patterns in syntactic dependency networks
Ramon Ferrer I Cancho1, Ricard V Solé, Reinhard Köhler
1ICREA-Complex Systems Lab, Universitat Pompeu Fabra, Dr Aiguader 80, 08003 Barcelona, Spain. rferrer@imim.es
Abstract:
Many languages are spoken on Earth. Despite their diversity, many robust language universals are known to exist. All languages share syntax, i.e., the ability of combining words for forming sentences. The origin of such traits is an issue of open debate. By using recent developments from the statistical physics of complex networks, we show that different syntactic dependency networks (from Czech, German, and Romanian) share many nontrivial statistical patterns such as the small world phenomenon, scaling in the distribution of degrees, and disassortative mixing. Such previously unreported features of syntax organization are not a trivial consequence of the structure of sentences, but an emergent trait at the global scale.
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