A4 Refereed article in a conference publication
EvolutionWorks Towards Improved Visualization of Citation Networks
Authors: Wilkins J, Järvi J, Jain A, Kejriwal G, Kerne A, Gumudavelly V
Conference name: International Conference on Human-Computer Interaction
Publisher: SPRINGER-VERLAG NEW YORK, MS INGRID CUNNINGHAM, 175 FIFTH AVE, NEW YORK, NY 10010 USA
Publication year: 2015
Journal: Lecture Notes in Computer Science
Book title : HUMAN-COMPUTER INTERACTION - INTERACT 2015, PT IV
Journal name in source: HUMAN-COMPUTER INTERACTION - INTERACT 2015, PT IV
Journal acronym: LECT NOTES COMPUT SC
Volume: 9299
First page : 213
Last page: 230
Number of pages: 18
ISBN: 978-3-319-22722-1
ISSN: 0302-9743
DOI: https://doi.org/10.1007/978-3-319-22723-8_17
Abstract
EvolutionWorks supports exploratory browsing of the academic paper citation network with an animated and zoom-able visualization that helps researchers explore the conceptual space that emerges from the relationships between academic papers. Metaphorically speaking, a researcher starts out with the seed of an idea that will grow into an unwieldy set of potentially useful papers that the researcher must prune into a final reading list. Accordingly, EvolutionWorks provides novel affordances to explore the citation network based on this seed-grow-prune model. First, kinetic layering represents abstract document properties as physical properties in a force-directed layout. Second, a unified layout shows the network graph and documents in a single view. Third, the focus-context-focus hop is a way to change focus from paper to paper that keeps researchers aware of the immediate context. Finally, if there is a tight cluster of papers, the system automatically creates cluster summary titles that are easier to read.
EvolutionWorks supports exploratory browsing of the academic paper citation network with an animated and zoom-able visualization that helps researchers explore the conceptual space that emerges from the relationships between academic papers. Metaphorically speaking, a researcher starts out with the seed of an idea that will grow into an unwieldy set of potentially useful papers that the researcher must prune into a final reading list. Accordingly, EvolutionWorks provides novel affordances to explore the citation network based on this seed-grow-prune model. First, kinetic layering represents abstract document properties as physical properties in a force-directed layout. Second, a unified layout shows the network graph and documents in a single view. Third, the focus-context-focus hop is a way to change focus from paper to paper that keeps researchers aware of the immediate context. Finally, if there is a tight cluster of papers, the system automatically creates cluster summary titles that are easier to read.
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