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Botafogo, R.A.; Shneiderman, B.; Rivlin, E.: Structural analysis of hypertexts identifying hierarchies and useful metrics (1992)
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- Abstract
- In many hypertext systems authors are encouraged to create hierachical structures, but when writing, the hierarchy is lost because of the inclusion of cross-reference links. Looks at ways of recovering lost hierarchies and finding new ones, offering authors different views of the same hypertext. Identifies properties of the hypertext document. Develops multiple metrics including compactness and stratum - compactness indicates the intrinsic connectedness of the hypertext, and stratum reveals to what degree the hypertext is organised so that some nodes must be read before others. Uses several exosting hypertexts to illustrate the benefits of each technique. The collection of techniques provides a multifaceted view of the hypertext, which should allow authors to reduce undesired structured complexity and create documents that readers can transverse more easily
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Dunne, C.; Shneiderman, B.; Gove, R.; Klavans, J.; Dorr, B.: Rapid understanding of scientific paper collections : integrating statistics, text analytics, and visualization (2012)
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- Abstract
- Keeping up with rapidly growing research fields, especially when there are multiple interdisciplinary sources, requires substantial effort for researchers, program managers, or venture capital investors. Current theories and tools are directed at finding a paper or website, not gaining an understanding of the key papers, authors, controversies, and hypotheses. This report presents an effort to integrate statistics, text analytics, and visualization in a multiple coordinated window environment that supports exploration. Our prototype system, Action Science Explorer (ASE), provides an environment for demonstrating principles of coordination and conducting iterative usability tests of them with interested and knowledgeable users. We developed an understanding of the value of reference management, statistics, citation text extraction, natural language summarization for single and multiple documents, filters to interactively select key papers, and network visualization to see citation patterns and identify clusters. A three-phase usability study guided our revisions to ASE and led us to improve the testing methods.
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Furuta, R.; Plaisant, C.; Shneiderman, B.: Automatically transforming regularly structured linear documents into hypertext (1989)
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-
Marchionini, G.; Shneiderman, B.: Finding facts vs. browsing knowledge in hypertext systems (1988)
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Shneiderman, B.; Byrd, D.; Croft, W.B.: Clarifying search : a user-interface framework for text searches (1997)
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Shneiderman, B.; Kearsley, G.: Hypertext hands-on! : An introduction to a new way of organizing and accessing information (1989)
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-
Bederson, B.B.; Shneiderman, B.: ¬The craft of information visualization : readings and reflections (2003)
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Young, D.; Shneiderman, B.: ¬A graphical filter/flow representation of Boolean queries : a prototype implementation and evaluation (1993)
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Shneiderman, B.: Designing the user interface : strategies for effective human-computer interaction (1992)
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Aris, A.; Shneiderman, B.; Qazvinian, V.; Radev, D.: Visual overviews for discovering key papers and influences across research fronts (2009)
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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.
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Ostroff, D.; Shneiderman, B.: Selection devices for user of an electronic encyclopedia : an empirical comparison of four possibilities (1988)
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Shneiderman, B.; Byrd, D.; Croft, W.B.: Clarifying search : a user-interface framework for text searches (1997)
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Kules, B.; Shneiderman, B.: Users can change their web search tactics : design guidelines for categorized overviews (2008)
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Shneiderman, B.: Designing menu selection systems (1986)
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Faloutsos, C.; Shneiderman, B.; Lee, R.; Plaisant, C.: Incorporating string search in a hypertext system : user interface and signature file design issues (1990)
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Weiland, W.J.; Shneiderman, B.: ¬A graphical query interface based on aggregation / generalization hierarchies (1993)
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Kumar, H.P.; Plaisant, C.; Shneiderman, B.: Browsing hierarchical data with multi-level dynamic queries and pruning (1997)
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Hochheiser, H.; Shneiderman, B.: Using interactive visualizations of WWW log data to characterize access patterns and inform site design (2001)
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Hochheiser, H.; Shneiderman, B.: Understanding patterns of user visits to Web sites : Interactive Starfield visualizations of WWW log data (1999)
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Harris, C.; Allen, R.B.; Plaisant, C.; Shneiderman, B.: Temporal visualization for legal case histories : from interpersonal communication to online information process (1999)
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