Wikipedia information flow analysis reveals the scale-free architecture of the semantic space.

In this paper we extract the topology of the semantic space in its encyclopedic acception, measuring the semantic flow between the different entries of the largest modern encyclopedia, Wikipedia, and thus creating a directed complex network of semantic flows. Notably at the percolation threshold the...

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Autores principales:	Adolfo Paolo Masucci, Alkiviadis Kalampokis, Victor Martínez Eguíluz, Emilio Hernández-García
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/984340c671c34581beac705f09f2d2d6
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id	oai:doaj.org-article:984340c671c34581beac705f09f2d2d6
record_format	dspace
spelling	oai:doaj.org-article:984340c671c34581beac705f09f2d2d62021-11-18T06:58:00ZWikipedia information flow analysis reveals the scale-free architecture of the semantic space.1932-620310.1371/journal.pone.0017333https://doaj.org/article/984340c671c34581beac705f09f2d2d62011-02-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21407801/?tool=EBIhttps://doaj.org/toc/1932-6203In this paper we extract the topology of the semantic space in its encyclopedic acception, measuring the semantic flow between the different entries of the largest modern encyclopedia, Wikipedia, and thus creating a directed complex network of semantic flows. Notably at the percolation threshold the semantic space is characterised by scale-free behaviour at different levels of complexity and this relates the semantic space to a wide range of biological, social and linguistics phenomena. In particular we find that the cluster size distribution, representing the size of different semantic areas, is scale-free. Moreover the topology of the resulting semantic space is scale-free in the connectivity distribution and displays small-world properties. However its statistical properties do not allow a classical interpretation via a generative model based on a simple multiplicative process. After giving a detailed description and interpretation of the topological properties of the semantic space, we introduce a stochastic model of content-based network, based on a copy and mutation algorithm and on the Heaps' law, that is able to capture the main statistical properties of the analysed semantic space, including the Zipf's law for the word frequency distribution.Adolfo Paolo MasucciAlkiviadis KalampokisVictor Martínez EguíluzEmilio Hernández-GarcíaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 2, p e17333 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Adolfo Paolo Masucci Alkiviadis Kalampokis Victor Martínez Eguíluz Emilio Hernández-García Wikipedia information flow analysis reveals the scale-free architecture of the semantic space.
description	In this paper we extract the topology of the semantic space in its encyclopedic acception, measuring the semantic flow between the different entries of the largest modern encyclopedia, Wikipedia, and thus creating a directed complex network of semantic flows. Notably at the percolation threshold the semantic space is characterised by scale-free behaviour at different levels of complexity and this relates the semantic space to a wide range of biological, social and linguistics phenomena. In particular we find that the cluster size distribution, representing the size of different semantic areas, is scale-free. Moreover the topology of the resulting semantic space is scale-free in the connectivity distribution and displays small-world properties. However its statistical properties do not allow a classical interpretation via a generative model based on a simple multiplicative process. After giving a detailed description and interpretation of the topological properties of the semantic space, we introduce a stochastic model of content-based network, based on a copy and mutation algorithm and on the Heaps' law, that is able to capture the main statistical properties of the analysed semantic space, including the Zipf's law for the word frequency distribution.
format	article
author	Adolfo Paolo Masucci Alkiviadis Kalampokis Victor Martínez Eguíluz Emilio Hernández-García
author_facet	Adolfo Paolo Masucci Alkiviadis Kalampokis Victor Martínez Eguíluz Emilio Hernández-García
author_sort	Adolfo Paolo Masucci
title	Wikipedia information flow analysis reveals the scale-free architecture of the semantic space.
title_short	Wikipedia information flow analysis reveals the scale-free architecture of the semantic space.
title_full	Wikipedia information flow analysis reveals the scale-free architecture of the semantic space.
title_fullStr	Wikipedia information flow analysis reveals the scale-free architecture of the semantic space.
title_full_unstemmed	Wikipedia information flow analysis reveals the scale-free architecture of the semantic space.
title_sort	wikipedia information flow analysis reveals the scale-free architecture of the semantic space.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/984340c671c34581beac705f09f2d2d6
work_keys_str_mv	AT adolfopaolomasucci wikipediainformationflowanalysisrevealsthescalefreearchitectureofthesemanticspace AT alkiviadiskalampokis wikipediainformationflowanalysisrevealsthescalefreearchitectureofthesemanticspace AT victormartinezeguiluz wikipediainformationflowanalysisrevealsthescalefreearchitectureofthesemanticspace AT emiliohernandezgarcia wikipediainformationflowanalysisrevealsthescalefreearchitectureofthesemanticspace
_version_	1718424120389009408

Wikipedia information flow analysis reveals the scale-free architecture of the semantic space.

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