CiteVis : Visual Analysis of Overlapping Citation Intents as Dynamic Sets (Paper)





Faculty/Professorship: Information Visualisation 
Author(s): Agarwal, Shivam  ; Ghosh, Uttiya; Beck, Fabian  ; Sreevalsan-Nair, Jaya
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2022
Pages: 1-2
Language(s): English
Remark: 
Created in the context of the 15th IEEE Pacific Visualization Symposium, 11.-14. April 2022 (Online).
DOI: 10.20378/irb-54949
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URL: https://pvis2022.github.io/pvis2022/
https://s-agarwl.github.io/publication/Agarwal2...
URN: urn:nbn:de:bvb:473-irb-549496
Abstract: 
A scientific article can be cited with different intents over several years. The citation intents can be inferred by classifying the citation text into different categories. With multiple citations to the same article, the citation intent categories overlap, making their analysis more challenging. We model the categories as dynamic sets and propose an approach to visualize temporal citation trends of an article across overlapping citation intents. The approach supports comparison between the citation trends of two seed articles of interest. The implemented prototype supports searching and selecting seed articles from a Semantic Scholar dataset.
GND Keywords: Zitat; Kontext; Menge; Visualisierung
Keywords: citation context, dynamic sets, visualization
DDC Classification: 004 Computer science  
RVK Classification: ST 274   
Peer Reviewed: Ja
International Distribution: Nein
Type: Conferenceobject
URI: https://fis.uni-bamberg.de/handle/uniba/54949
Release Date: 13. October 2022

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