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Character networks and book genre classification

Author

Listed:
  • 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)

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.

Suggested Citation

  • Adriano J. Holanda & Mariane Matias & Sueli M. S. P. Ferreira & Gisele M. L. Benevides & Osame Kinouchi, 2019. "Character networks and book genre classification," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 30(08), pages 1-13, August.
    • Handle: RePEc:wsi:ijmpcx:v:30:y:2019:i:08:n:s012918311950058x
    DOI: 10.1142/S012918311950058X
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    Cited by:

    1. O-Joun Lee & Heelim Hong & Eun-Soon You & Jin-Taek Kim, 2020. "Discovering Social Desires and Conflicts from Subculture Narrative Multimedia," Sustainability, MDPI, vol. 12(24), pages 1-29, December.

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