information visualization
DESCRIPTION
Learn more about visualizing bibliometric data.TRANSCRIPT
Information Visualization
Karen E.
GutzmanMarch 2014
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Road map
What’s a librarian to do?
Words to live by
Resources
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Words to live by
• Edward Tufte’s seminar:
Presenting Data and Information
• Katy Börner’s course:
Information Visualization
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Words to live by
…the task of the designer is to give visual
access to the subtle and the difficult …-Edward Tufte (2001, p. 191)
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Words to live by
Graphics reveal data
greatest number of ideas
shortest time least ink smallest space
Example 1. Brenner (2002)
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Words to live by
Graphics reveal data
greatest number of ideas
shortest time least ink smallest space
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Words to live by
Graphics reveal data
greatest number of ideas
shortest time least ink smallest space
Example 2. Tufte (n.d.)
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Resources• Data sources
• Visualization tools
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Resources: data sources
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Resources: visualization tools
Supports visualization of datasets
Temporal Geospatial Topical Network analysis
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What’s a librarian to do?
• Dream up ideas
• Use the data
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Temporal data
Types of visualizations
Time-Series Plot Histogram Stacked graph Burst Detection (see visualization)
What to visualize The increase in the number of
citations for a specific publication over time
Number of new collaborators participating in a specific program
The amount of funding provided to an organization or researcher (see visualization)
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Geospatial Data
Types of visualizations
Proportional Symbol Map Choropleth Maps (see visualization)
What to visualize The location (state/country) of
researchers, experts, or collaborators
The amount of funding on specific topic by geographical area
The location of authors who have cited, viewed, or downloaded a particular publication or work (see visualization)
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Topical Data
Types of visualizations
Cross Maps Wordle Topic Bursts (see
visualization)
What to visualize Word co-occurrence on a
single document, book or other text-based research output combined with burst detection (see visualization)
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Topical Data
Types of visualizations Cross Maps Wordle (see visualization) Topic Bursts
What to visualize Word co-occurrence on a single
document, book or other text-based research output combined with burst detection (see visualization)
Word bursts of top 50 terms in the abstracts of the top 10 most highly cited publications for Dr. Name Redacted.
(from wordle.net)
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Network Data
Types of visualizations Radial Tree Graph Tree Map Social Networks (see visualization)
What to visualize The hierarchy of a network drive or
organization
Identify highly connected authors or papers through collaborations or citations (see visualization)
Dr. Name Redacted
Dr. Co-Author 2
Dr. Co-Author 1
Author Co-occurrence (co-author) Network
Sci2 Team. (2009). Science of Science (Sci2) Tool. Indiana University and SciTech Strategies, https://sci2.cns.iu.edu.
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Sources
Börner, K., Polley, D.E. (2014). Visual Insights. Cambridge, MA. Massachusetts Institute of Technology
Brenner, H. (2002). Long-term survival rates of cancer patients achieved by the end of the 20th century: a period analysis. The Lancet, 360, pp. 1131-1135
Tufte, E. (2001). The Visual Display of Quantitative Information. 2nd Ed. Cheshire, CT. Graphics Press.
Tufte, E. (n.d.) Cancer survival rates: tables, slopegraphs, barcharts. [online forum] Retrieved from: http://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0000Jr
Sci2 Team. (2009). Science of Science (Sci2) Tool. Indiana University and SciTech Strategies, https://sci2.cns.iu.edu
Information Visualization Portfolio: http://visualizinginformationportfolio.blogspot.com/
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Thank you
This research was supported in part by an appointment to the NLM Associate Fellowship Program sponsored by the National Library of Medicine and administered by the Oak Ridge Institute for Science and Education.