Character networks and book genre classification

Adriano J. Holanda, Mariane Matias (), Sueli M. S. P. Ferreira (), Gisele M. L. Benevides () and Osame Kinouchi ()
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Adriano J. Holanda: Departamento de Computação e Matemática — FFCLRP, Universidade de São Paulo, Av. Bandeirantes 3900, CEP 14040-901, Ribeirão Preto, SP, Brazil
Mariane Matias: Departamento de Física — FFCLRP, Universidade de São Paulo, Av. Bandeirantes 3900, CEP 14040-901, Ribeirão Preto, SP, Brazil
Sueli M. S. P. Ferreira: Departamento de Educação, Informação e Comunicação – FFCLRP, Universidade de São Paulo, Av. Bandeirantes 3900, CEP 14040-901, Ribeirão Preto, SP, Brazil
Gisele M. L. Benevides: Prefeitura do Campus USP de Ribeirão Preto, Universidade de São Paulo, Av. Bandeirantes 3900, CEP 14040-901, Ribeirão Preto, SP, Brazil
Osame Kinouchi: Departamento de Física — FFCLRP, Universidade de São Paulo, Av. Bandeirantes 3900, CEP 14040-901, Ribeirão Preto, SP, Brazil

International Journal of Modern Physics C (IJMPC), 2019, vol. 30, issue 08, 1-13

Abstract: 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.

Keywords: Social networks; character networks; Lobby index; Hirsch index (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1142/S012918311950058X

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