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Spectral methods cluster words of the same class in a syntactic dependency network

Ferrer I Cancho, Ramon and Capocci, Andrea and Caldarelli, Guido Spectral methods cluster words of the same class in a syntactic dependency network. International Journal of Bifurcation and Chaos, 17 (7). pp. 2453-2463. ISSN 0218-1274 (2007)

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We analyze here a particular kind of linguistic network where vertices represent words and edges stand for syntactic relationships between words. The statistical properties of these networks have been recently studied and various features such as the small-world phenomenon and a scale-free distribution of degrees have been found. Our work focuses on four classes of words: verbs, nouns, adverbs and adjectives. Here, we use spectral methods sorting vertices. We show that the ordering clusters words of the same class. For nouns and verbs, the cluster size distribution clearly follows a power-law distribution that cannot be explained by a null hypothesis. Long-range correlations are found between vertices in the ordering provided by the spectral method. The findings support the use of spectral methods for detecting community structure.

Item Type: Article
Identification Number: 10.1142/S021812740701852X
Uncontrolled Keywords: Complex networks; communities; word classes
Subjects: P Language and Literature > P Philology. Linguistics
Q Science > QC Physics
Research Area: Economics and Institutional Change
Depositing User: Ms T. Iannizzi
Date Deposited: 01 Feb 2012 13:17
Last Modified: 21 Nov 2013 09:07
URI: http://eprints.imtlucca.it/id/eprint/1099

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