Graph Analytics-Lessons Learned and Challenges Ahead

Lessons learned from developing four graph analytics applications reveal good research practices and grand challenges for future research. The application domains include electric-power-grid analytics, social-network and citation analytics, text and document analytics, and knowledge domain analytics...

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Bibliographic Details
Published inIEEE computer graphics and applications Vol. 31; no. 5; pp. 18 - 29
Main Authors Wong, Pak Chung, Chen, Chaomei, Gorg, Carsten, Shneiderman, Ben, Stasko, John, Thomas, Jim
Format Magazine Article
LanguageEnglish
Published United States IEEE 01.09.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Computer graphics
Data mining
Data visualization
Graphs
Green products
Mathematical analysis
Power grids
Texts
Visual analytics
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Summary:Lessons learned from developing four graph analytics applications reveal good research practices and grand challenges for future research. The application domains include electric-power-grid analytics, social-network and citation analytics, text and document analytics, and knowledge domain analytics.
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ISSN:0272-1716
1558-1756
DOI:10.1109/MCG.2011.72