A character network is a graph extracted from a narrative in which vertices represent
characters and edges correspond to interactions between them. A number of narrative …

We examine differences in portrayal of characters in movies using psycholinguistic and
graph theoretic measures computed directly from screenplays. Differences are examined …

Real-world complex networks are usually being modeled as graphs. The concept of graphs
assumes that the relations within the network are binary (for instance, between pairs of …

This study revisits what is widely considered “the first modern novel” in Romanian literature,
Liviu Rebreanu's Ion, from a network theory perspective. Isolating the dialogue and …

We present two deep learning approaches to narrative text understanding for character
relationship modelling. The temporal evolution of these relations is described by dynamic …

Natural Language Processing and Machine Learning have considerably advanced
Computational Literary Studies. Similarly, the construction of co-occurrence networks of …

Manga, Japanese comics, has been popular on a global scale. Social networks among
characters, which are often called character networks, may be a significant contributor to …

In this article we report about our efforts to develop and evaluate computational support tools
for literary studies. We present a novel method and tool that allows interactive visual …

Dialogues in a TV series (especially in sitcoms) represent the main interaction among
characters. Dialogues may exhibit concentration, with some characters dominating, or …

Word embeddings are already well studied in the general domain, usually trained on large
text corpora, and have been evaluated for example on word similarity and analogy tasks, but …