EvolutionWorks Towards Improved Visualization of Citation Networks

被引:0
作者
Wilkins, Jason [1 ]
Jaervi, Jaakko [1 ]
Jain, Ajit [1 ]
Kejriwal, Gaurav [1 ]
Kerne, Andruid [1 ]
Gumudavelly, Vijay [1 ]
机构
[1] Texas A&M Univ, College Stn, TX 77843 USA
来源
HUMAN-COMPUTER INTERACTION - INTERACT 2015, PT IV | 2015年 / 9299卷
基金
美国国家科学基金会;
关键词
Citation networks; Graph visualization; Information retrieval; COCITATION; WEB; BEHAVIOR; GOOGLE;
D O I
10.1007/978-3-319-22723-8_17
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:213 / 230
页数:18
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