Network visualization techniques for story charting
Joao T. Aparicio, Andreas Karatsoli, Carlos J. Costa

TL;DR
This paper introduces a graph visualization approach for analyzing texts, transforming stories into interactive graphs to reveal complex character relationships and story structures, aiding literary analysis and related fields.
Contribution
The paper presents a novel story charting technique that converts textual narratives into graph visualizations for enhanced analysis of story dynamics.
Findings
Effective visualization of character interactions
Revealed hidden story patterns
Potential applications in literary studies
Abstract
Visualization techniques have been widely used to analyze various data types, including text. This paper proposes an approach to analyze a controversial text in Portuguese by applying graph visualization techniques. Specifically, we use a story charting technique that transforms the text into a graph. Each node represents a character or main entities, and each edge represents the interactions between characters. We also present several visualization techniques to gain insights into the story's structure, relationships between the characters, the most important events, and how some key terms are used throughout the book. By using this approach, we can effectively reveal complex patterns and relationships that may not be easily discernible from reading the text. Finally, we discuss the potential applications of our technique in Literary Studies and other fields.
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Taxonomy
TopicsData Visualization and Analytics · Complex Network Analysis Techniques · Web Data Mining and Analysis
