Use este identificador para citar ou linkar para este item: http://repositoriosenaiba.fieb.org.br/handle/fieb/310
Título: Complex semantic networks
Título(s) alternativo(s): International Journal of Modern Physics C
Autor(es): Teixeira, G.M.
Aguiar, M. S. F.
Carvalho, C. F.
Dantas, D. R.
Cunha, M. V.
Morais, J. H. M.
Pereira, H. B. B.
Miranda, J. G. V.
Palavras-chave: Complex networks
Oral discourse
Incidence - Fidelity index
Data do documento: 2010
Citação: TEIXEIRA, G. M. et al. Complex semantic networks. International Journal of Modern Physics C, [s. l.], v.21, n.3, p.333-347, 2010.
Resumo: Verbal language is a dynamic mental process. Ideas emerge by means of the selection of words from subjective and individual characteristics throughout the oral discourse. The goal of this work is to characterize the complex network of word associations that emerge from an oral discourse from a discourse topic. Because of that, concepts of associative incidence and fidelity have been elaborated and represented the probability of occurrence of pairs of words in the same sentence in the whole oral discourse. Semantic network of words associations were constructed, where the words are represented as nodes and the edges are created when the incidence-fidelity index between pairs of words exceeds a numerical limit (0.001). Twelve oral discourses were studied. The networks generated from these oral discourses present a typical behavior of complex networks and their indices were calculated and their topologies characterized. The indices of these networks obtained from each incidence-fidelity limit exhibit a critical value in which the semantic network has maximum conceptual information and minimum residual associations. Semantic networks generated by this incidence-fidelity limit depict a pattern of hierarchical classes that represent the different contexts used in the oral discourse.
Descrição: p.333-347
URI: http://repositoriosenaiba.fieb.org.br/handle/fieb/310
Aparece nas coleções:Artigos Publicados em Periódicos (PPG MCTI)

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