Twenty Thousand Leagues Above the Book: An Interactive Visual Analytics Approach to Literature
dc.contributor.author | Luczak-Roesch, Markus | |
dc.contributor.author | Grener, Adam | |
dc.contributor.author | Fenton, Emma | |
dc.date.accessioned | 2023-03-17T22:48:39Z | |
dc.date.available | 2023-03-17T22:48:39Z | |
dc.date.issued | 2018 | |
dc.description.abstract | Here we present a novel tool for the digital humanities that leverages temporal data mining, network science, and visual analytics. Our initial user studies show that this approach facilitates a new collaborative methodological practice that is a hybrid of close and distant reading. | en |
dc.identifier.doi | 10.1145/3148330.3154507 | |
dc.identifier.uri | https://dl.eusset.eu/handle/20.500.12015/4477 | |
dc.language.iso | en | |
dc.publisher | Association for Computing Machinery | |
dc.relation.ispartof | Proceedings of the 2018 ACM International Conference on Supporting Group Work | |
dc.subject | network analysis | |
dc.subject | digital humanities | |
dc.subject | text mining | |
dc.title | Twenty Thousand Leagues Above the Book: An Interactive Visual Analytics Approach to Literature | en |
dc.type | Text/Conference Paper | |
gi.citation.startPage | 94–97 | |
gi.conference.location | Sanibel Island, Florida, USA |