| Texto completo | |
| Autor(es): |
Holanda, Adriano J.
[1]
;
Matias, Mariane
[2]
;
Ferreira, Sueli M. S. P.
[3]
;
Benevides, Gisele M. L.
[4]
;
Kinouchi, Osame
[2]
Número total de Autores: 5
|
| Afiliação do(s) autor(es): | [1] Univ Sao Paulo, Dept Comp & Matemat, FFCLRP, Av Bandeirantes 3900, BR-14040901 Ribeirao Preto, SP - Brazil
[2] Univ Sao Paulo, Dept Fis, FFCLRP, Av Bandeirantes 3900, BR-14040901 Ribeirao Preto, SP - Brazil
[3] Univ Sao Paulo, Dept Educ Informacao & Comunicao, FFCLRP, Av Bandeirantes 3900, BR-14040901 Ribeirao Preto, SP - Brazil
[4] Univ Sao Paulo, Prefeitura Campus USP Ribeirao Preto, Av Bandeirantes 3900, BR-14040901 Ribeirao Preto, SP - Brazil
Número total de Afiliações: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | INTERNATIONAL JOURNAL OF MODERN PHYSICS C; v. 30, n. 8 AUG 2019. |
| Citações Web of Science: | 0 |
| Resumo | |
We compared the social character networks of biographical, legendary and fictional texts in search for marks of genre differentiation. We examined the degree distribution of character appearance and found a power-law-like distribution that does not depend on the literary genre. We also analyzed local and global complex network measures, in particular, correlation plots between the recently introduced Lobby index and degree, betweenness and closeness centralities. Assortativity plots, which previous literature claims to separate fictional from real social networks, were also studied. We found no relevant differences among genres for the books studied when applying these network measures and we provide an explanation why the previous assortativity result is not correct. (AU) | |
| Processo FAPESP: | 13/07699-0 - Centro de Pesquisa, Inovação e Difusão em Neuromatemática - NeuroMat |
| Beneficiário: | Oswaldo Baffa Filho |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |