Abstract
Within the field of literary analysis, there are few branches as confusing as that of genre theory. Literary criticism has failed so far to reach a consensus on what makes a genre a genre. In this paper, we examine the degree to which the character structure of a novel is indicative of the genre it belongs to. With the premise that novels are societies in miniature, we build static and dynamic social networks of characters as a strategy to represent the narrative structure of novels in a quantifiable manner. For each of the novels, we compute a vector of literary-motivated features extracted from their network representation. We perform clustering on the vectors and analyze the resulting clusters in terms of genre and authorship.- Anthology ID:
- 2015.lilt-12.4
- Volume:
- Linguistic Issues in Language Technology, Volume 12, 2015 - Literature Lifts up Computational Linguistics
- Month:
- Oct
- Year:
- 2015
- Address:
- Venue:
- LILT
- SIG:
- Publisher:
- CSLI Publications
- Note:
- Pages:
- Language:
- URL:
- https://aclanthology.org/2015.lilt-12.4
- DOI:
- Cite (ACL):
- Mariona Coll Adanay and Caroline Sporleder. 2015. Clustering of Novels Represented as Social Networks. Linguistic Issues in Language Technology, 12.
- Cite (Informal):
- Clustering of Novels Represented as Social Networks (Coll Adanay & Sporleder, LILT 2015)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2015.lilt-12.4.pdf