Search (2 results, page 1 of 1)

  • × author_ss:"Shneiderman, B."
  • × theme_ss:"Informetrie"
  • × year_i:[2000 TO 2010}
  1. Aris, A.; Shneiderman, B.; Qazvinian, V.; Radev, D.: Visual overviews for discovering key papers and influences across research fronts (2009) 0.00 
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    Abstract
    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.
    Type
    a
  2. Perer, A.; Shneiderman, B.; Oard, D.W.: Using rhythms of relationships to understand e-mail archives (2006) 0.00 
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    Abstract
    Due to e-mail's ubiquitous nature, millions of users are intimate with the technology; however, most users are only familiar with managing their own e-mail, which is an inherently different task from exploring an e-mail archive. Historians and social scientists believe that e-mail archives are important artifacts for understanding the individuals and communities they represent. To understand the conversations evidenced in an archive, context is needed. In this article, we present a new way to gain this necessary context: analyzing the temporal rhythms of social relationships. We provide methods for constructing meaningful rhythms from the e-mail headers by identifying relationships and interpreting their attributes. With these visualization techniques, e-mail archive explorers can uncover insights that may have been otherwise hidden in the archive. We apply our methods to an individual's 15-year e-mail archive, which consists of about 45,000 messages and over 4,000 relationships.
    Type
    a

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