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Resumo(s)
This study investigates the structural differences in character networks within Portugueselanguage literary works across various genres, including Fantasy, Mystery, and Romance. By
exploring how character interactions and relationships differ across genres, we aimed to
understand the underlying narrative structures that define each genre. Through Social
Network Analysis, specific metrics were extracted for each genre, analyzed, and a Principal
Component Analysis (PCA) was conducted, with real-life networks added for comparison and
reference. Our analysis revealed that, although no extremely prominent metric differences
were observed among the genres, there were notable structural tendencies within each
genre. Fantasy narratives tend to focus on a single main character that interacts with many
other characters, exhibiting lower density and clustering than other genres, and have less
focus on relationship building. Mystery narratives feature moderately sized, denser networks
with key bridging characters and the highest centrality on a relationship, translating into a
balance of relationship and character building. In contrast, Romance narratives present the
most variable network size, emphasizing multiple central characters and cohesive subgroups,
focusing especially on relationship building. This makes Romance and Fantasy the most
different genres, while Mystery acts as a mix of these structure strategies and is
simultaneously closer to what is observed in real-life networks. The study acknowledges
limitations related to sample size and data processing, highlighting the need for future
research with larger and more diverse datasets to validate these findings.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
Palavras-chave
Social Networks Analysis (SNA) NLP Genre Theory Portuguese Literature
