Visual overviews for discovering key papers and influences across research fronts
Author(s) -
Aris Aleks,
Shneiderman Ben,
Qazvinian Vahed,
Radev Dragomir
Publication year - 2009
Publication title -
journal of the american society for information science and technology
Language(s) - English
Resource type - Journals
eISSN - 1532-2890
pISSN - 1532-2882
DOI - 10.1002/asi.21160
Subject(s) - computer science , visibility , key (lock) , citation , data science , task (project management) , visualization , domain (mathematical analysis) , bibliographic coupling , citation analysis , information retrieval , front (military) , world wide web , data mining , mathematical analysis , physics , computer security , management , mathematics , optics , economics , mechanical engineering , engineering
Gaining a rapid overview of an emerging scientific topic, sometimes called research fronts , is an increasingly common task due to the growing amount of interdisciplinary collaboration. Visual overviews that show temporal patterns of paper publication and citation links among papers can help researchers and analysts to see the rate of growth of topics, identify key papers, and understand influences across subdisciplines. This article applies a novel network‐visualization tool based on meaningful layouts of nodes to present research fronts and show citation links that indicate influences across research fronts. To demonstrate the value of two‐dimensional layouts with multiple regions and user control of link visibility, we conducted a design‐oriented, preliminary case study with 6 domain experts over a 4‐month period. The main benefits were being able (a) to easily identify key papers and see the increasing number of papers within a research front, and (b) to quickly see the strength and direction of influence across related research fronts.
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