Fingerprint Matrices: Uncovering the Dynamics of Social Networks in Prose Literature

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dc.contributor.authorOelke, Danielaen_US
dc.contributor.authorKokkinakis, Dimitriosen_US
dc.contributor.authorKeim, Daniel A.en_US
dc.contributor.editorB. Preim, P. Rheingans, and H. Theiselen_US
dc.date.accessioned2015-02-28T15:31:40Z
dc.date.available2015-02-28T15:31:40Z
dc.date.issued2013en_US
dc.description.abstractIn prose literature often complex dynamics of interpersonal relationships can be observed between the different characters. Traditionally, node-link diagrams are used to depict the social network of a novel. However, static graphs can only visualize the overall social network structure but not the development of the networks over the course of the story, while dynamic graphs have the serious problem that there are many sudden changes between different portions of the overall social network. In this paper we explore means to show the relationships between the characters of a plot and at the same time their development over the course of a novel. Based on a careful exploration of the design space, we suggest a new visualization technique called Fingerprint Matrices. A case study exemplifies the usage of Fingerprint Matrices and shows that they are an effective means to analyze prose literature with respect to the development of relationships between the different characters.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12124en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectDocument and Text Processing [I.7.5]en_US
dc.subjectDocument Captureen_US
dc.subjectDocument Analysisen_US
dc.titleFingerprint Matrices: Uncovering the Dynamics of Social Networks in Prose Literatureen_US
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32-Issue 3
EuroVis13: Eurographics Conference on Visualization