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Issue No. 05 - Sept.-Oct. (2016 vol. 36)
ISSN: 0272-1716
pp: 72-81
Nan Cao , TongJi University
Yu-Ru Lin , University of Pittsburgh
Fan Du , University of Maryland
Dashun Wang , Northwestern University
The key challenges of visualizing social interaction data include the difficulties of understanding the general structure of social interactions and representing the data in the context of various user activities to reveal different behavior patterns. The design of the proposed interactive visualization tool Episogram is based on an anatomy of social interaction process in which the actors and objects involved can be formally represented as a time-varying tripartite network. The authors show the effectiveness of the proposed technique using real-world datasets and user studies.
Data visualization, Twitter, Data models, Behaviorial sciences, Electronic mail, Shape analysis, Social network services

N. Cao, Y. Lin, F. Du and D. Wang, "Episogram: Visual Summarization of Egocentric Social Interactions," in IEEE Computer Graphics and Applications, vol. 36, no. 5, pp. 72-81, 2016.
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