what researchers want
DESCRIPTION
What Researchers Want. Links from this talk: bit.ly/ stmwant. Cody Dunne Dept. of Computer Science and Human-Computer Interaction Lab, University of Maryland [email protected] STM 3 rd Master Class November 7-9, 2011 Adelphi, MD, USA. Researchers want to…. Find a specific paper - PowerPoint PPT PresentationTRANSCRIPT
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What Researchers Want
Cody DunneDept. of Computer Science and
Human-Computer Interaction Lab, University of [email protected]
STM 3rd Master ClassNovember 7-9, 2011 Adelphi, MD, USA
Links from this talk:
bit.ly/stmwant
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Researchers want to…
1. Find a specific paper2. Explore a research area3. Do retrospective analysis4. Share their results
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1. Find a specific paper
• Metadata or PDF?• From memory (search)• From reference list– DOI/URL– Search
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2. Exploring a research area
• Foundations• Emerging research topics• State of the art/open problems• Collaborations & relationships between
Communities• Field evolution• Easily understandable surveys
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User requirements• Control over the paper collection– Choose custom subset via query, then iteratively drill down,
filter, & refine• Overview either as visualization or text statistics– Orient within subset
• Easy to understand metrics for identifying interesting papers– Ranking & filtering
• Create groups & annotate with findings– Organize discovery process– Share results
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Action Science Explorer
• Bibliometric lexical link mining to create a citation network and citation context
• Network clustering and multi-document summarization to extract key points
• Potent network analysis and visualization tools
www.cs.umd.edu/hcil/ase
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Reference management & grouping
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Citation network overviewCommunities, outliers, invalid data
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Statistics & visualization
• Network statistics– Degree– Betweenness– Closeness– Pagerank
• Attributes– Year– Downloads– Citations– References
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Field evolution
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Citation context & summarization
• Citation context– Key contributions– Critical reception– Citations to subsequent/similar work
• Hyperlinked citations in text– See surrounding context of citation– View cited papers while reading
• Multi-document summarization– Citation context– Abstract– Full text
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3. Retrospective analysis
• Automatic collection & processing of bibliometric data
• Easy access to visual analytic tools for finding clusters, trends, outliers
• Communities for sharing data, tools, & results
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STICK Project
• Scientific, data-driven way to track innovations– Vs. current expert-based, time consuming
approaches (e.g., Gartner’s Hype Cycle, tire track diagrams)
• Includes both concept and product forms– Study relationships between
• Study the innovation ecosystem– Organizations & people– Both those producing & using innovations
stick.ischool.umd.edu
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Case study: tree visualization
• Problem: Traditional 2D node-link diagrams of trees become too large
• Solutions:– Treemaps: Nested Rectangles– Cone Trees: 3D Interactive Animations– Hyperbolic Trees: Focus + Context
• Measures:– Papers, articles, patents, citations,…– Press releases, blog posts, tweets,…– Users, downloads, sales,…
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Treemaps: nested rectangles
www.cs.umd.edu/hcil/treemap-history
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Smartmoney MarketMap Feb 27, 2007
smartmoney.com/marketmap
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Cone trees: 3D interactive animations
Robertson, G. G., Card, S. K., and Mackinlay, J. D., Information visualization using 3D interactive animation, Communications of the ACM, 36, 4 (1993), 51-71.
Robertson, G. G., Mackinlay, J. D., and Card, S. K., Cone trees: Animated 3D visualizations of hierarchical information, Proc. ACM SIGCHI Conference on Human Factors in Computing Systems, ACM Press, New York, (April 1991), 189-194.
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Hyperbolic trees: focus & context
Lamping, J. and Rao, R., Laying out and visualizing large trees using a hyper-bolic space, Proc. 7th Annual ACM symposium on User Interface Software and Technology, ACM Press, New York (1994), 13-14.
Lamping, J., Rao, R., and Pirolli, P., A focus+context technique based on hy-perbolic geometry for visualizing large hierarchies, Proc. SIGCHI Conference on Human Factors in Computing Systems, ACM Press, New York (1995), 401-408.
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Case study: tree visualization impact
TM=TreemapsCT=Cone TreesHT=Hyperbolic Trees
Trad
e Pr
ess
Artic
les
Acad
emic
Pa
pers
Pate
nts
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Case study: tree visualization citationsTM=TreemapsCT=Cone TreesHT=Hyperbolic Trees
Acad
emic
Pa
pers
Pate
nts
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Case study: business intelligence
Year
Proquest News 2000-2009Co-occurrence of concepts with organizations
Data Mining• National Security Agency• White House• FBI• AT&T• American Civil Liberties Union• Electronic Frontier Foundation• Dept. of Homeland Security• CIA
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Business Intelligence2000-2009Matrix showing Co-Occurrence of concepts and entities
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Business Intelligence2000-2009:(subset)
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Business Intelligence2000-2009:Data mining• NSA• CIA• FBI• White House• Pentagon• DOD• DHS• AT&T• ACLU• EFF• Senate Judiciary
Committee
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Business Intelligence2000-2009:Tech1 • Google• Yahoo• Stanford• AppleTech2• IBM, Cognos• Microsoft• OracleFinance• NASDAQ• NYSE• SEC• NCR• MicroStrategy
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Business Intelligence2000-2009:• Air Force• Army• Navy• GSA• UMD*
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STICK Process
• News • Dissertation• Academic
• Patent
• Blogs
• Identify concepts• Query data sources• Processing
• Automatic entity recognition• Crowd-sourced verification• Co-occurrence networks
• Visualizing & analyzing• Overall statistics• Co-occurrence networks• Network evolution
• Sharing results
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4. Sharing results
• Easily usable metadata (BibTeX, EndNote, etc.)• Collaborative authoring• Online communities
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Collaborative literature reviews• Organized references• Annotated PDFs
www.mendeley.com
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Shared data & analysis repositories
stick.ischool.umd.edu/community
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Researchers want to…
1. Find a specific paper2. Explore a research area3. Do retrospective analysis4. Share their results
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What Researchers Want
Cody DunneDept. of Computer Science and
Human-Computer Interaction Lab, University of [email protected]
This work has been partially supported by NSF grants IIS 0705832 (ASE) and
SBE 0915645 (STICK)
Links from this talk:
bit.ly/stmwant