Refereed article in conference proceedings (A4)

EvolutionWorks Towards Improved Visualization of Citation Networks




List of 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 number: 9299

Number of pages: 18

ISBN: 978-3-319-22722-1

ISSN: 0302-9743

DOI: http://dx.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.


Last updated on 2021-24-06 at 09:50