eprintid: 1099
rev_number: 9
eprint_status: archive
userid: 6
dir: disk0/00/00/10/99
datestamp: 2012-02-01 13:17:52
lastmod: 2013-11-21 09:07:26
status_changed: 2012-02-01 13:17:52
type: article
metadata_visibility: show
creators_name: Ferrer I Cancho, Ramon
creators_name: Capocci, Andrea
creators_name: Caldarelli, Guido
creators_id: 
creators_id: 
creators_id: guido.caldarelli@imtlucca.it
title: Spectral methods cluster words of the same class in a syntactic dependency network
ispublished: pub
subjects: P1
subjects: QC
divisions: EIC
full_text_status: none
keywords: Complex networks; communities; word classes
abstract: 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.
date: 2007
date_type: published
publication: International Journal of Bifurcation and Chaos
volume: 17
number: 7
publisher: World Scientific Publishing
pagerange: 2453-2463
id_number: 10.1142/S021812740701852X
refereed: TRUE
issn: 0218-1274
official_url: http://dx.doi.org/10.1142/S021812740701852X
related_url_url: http://arxiv.org/abs/cond-mat/0504165
citation:   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)