Not-so-distant reading: A dynamic network approach to literature
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De Gruyter
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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 analytics of character occurrences in Victorian novels, and has been handed to humanities scholars and students for work with a number of novels from different authors. Our user study reveals insights about Victorian novels that are valuable for scholars in the digital humanities field, and informs UI as well as UX designers about how these domain experts interact with tools that leverage network science.
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Empirical studies in visualization, Computer supported cooperative work, Data mining, Interactive learning environments, Document analysis, Annotation
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Number of citations to item: 4
- Vincent Labatut, Xavier Bost (2019): Extraction and Analysis of Fictional Character Networks, In: ACM Computing Surveys 5(52), doi:10.1145/3344548
- Ronald Fischer, Johannes Alfons Karl, Markus Luczak–Roesch, Velichko H. Fetvadjiev, Adam Grener (2020): Tracing Personality Structure in Narratives: A Computational Bottom–Up Approach to Unpack Writers, Characters, and Personality in Historical Context, In: European Journal of Personality 5(34), doi:10.1002/per.2270
- Lindsay Thomas (2020): Modeling Long Novels: Network Analysis and A Brief History of Seven Killings, In: The Palgrave Handbook of Twentieth and Twenty-First Century Literature and Science, doi:10.1007/978-3-030-48244-2_37
- Adam Grener, Isabel Parker (2019): Dickens's Anonymous Margins: Names, Network Theory, and the Serial Novel, In: Dickens Studies Annual 1(50), doi:10.5325/dickstudannu.50.1.0020