Analyzing Character Networks in Portuguese-language Literary Works

  • Mariana O. Silva UFMG
  • Gabriel P. Oliveira UFMG
  • Mirella M. Moro UFMG

Resumo


Literary works are complex narratives with multifaceted character relationships. Studying these relationships can reveal important insights into the story’s structure and each character’s contribution to the plot development. This research investigates character networks in Portuguese-language literature using two main analytical approaches: structural network analysis and character importance metrics. Our analyses emphasize the significance of character networks in understanding the narrative structure of literary works and reveal the intricate interplay between characters in Portuguese-language literature. These findings deepen our comprehension of literary works’ fundamental structure and the characters’ pivotal role in shaping the story.

Referências

Aires, V. P. et al. (2017). Construção e análise das redes sociais de personagens dos filmes da franquia o senhor dos anéis. In BraSNAM, Porto Alegre, RS, Brasil. SBC.

Barabási, A.-L. (2016). Network science. Cambridge University Press.

Ester, M. et al. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. In Procs. of KDD, pages 226–231, Portland, USA.

Fonseca, B. et al. (2021). Social network analysis and mining: challenges and applications. In BraSNAM, pages 287–294, Porto Alegre, RS, Brasil. SBC.

Labatut, V. and Bost, X. (2019). Extraction and analysis of fictional character networks: A survey. ACM Comput. Surv., 52(5):89:1–89:40.

Li, J. et al. (2019). Complex networks of characters in fictional novels. In ICIS, pages 417–420. IEEE.

Muhongo, T. et al. (2022). Detection of loanwords in angolan portuguese: A text mining approach. Inteligencia Artif., 25(69):87–106.

Newman, M. E. J. (2010). Networks: An Introduction. Oxford University Press.

Scofield, C. et al. (2022). Book genre classification based on reviews of portuguese-language literature. In PROPOR, volume 13208 of Lecture Notes in Computer Science, pages 188–197. Springer.

Shahsavari, S. et al. (2020). An automated pipeline for character and relationship extraction from readers literary book reviews on goodreads.com. In WebSci, pages 277–286. ACM.

Silva, M. O. et al. (2021a). Exploring brazilian cultural identity through reading preferences. In BraSNAM, pages 115–126, Porto Alegre, RS, Brasil. SBC.

Silva, M. O. et al. (2021b). PPORTAL: Public domain Portuguese-language literature Dataset. In SBBD DSW, pages 77–88, Rio de Janeiro, Brazil. SBC.

Yang, F. (2022). An extraction and representation pipeline for literary characters. In AAAI, pages 13146–13147. AAAI Press.
Publicado
06/08/2023
SILVA, Mariana O.; OLIVEIRA, Gabriel P.; MORO, Mirella M.. Analyzing Character Networks in Portuguese-language Literary Works. In: BRAZILIAN WORKSHOP ON SOCIAL NETWORK ANALYSIS AND MINING (BRASNAM), 12. , 2023, João Pessoa/PB. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2023 . p. 115-126. ISSN 2595-6094. DOI: https://doi.org/10.5753/brasnam.2023.230585.

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