SVEN: An Alternative Storyline Framework for Dynamic Graph Visualization

Arendt, Dustin L. (2015) SVEN: An Alternative Storyline Framework for Dynamic Graph Visualization. In: Graph Drawing and Network Visualization, 23rd International Symposium, GD 2015, September 24-26, 2015, Los Angeles, CA, USA , pp. 554-555 (Official URL: http://dx.doi.org/10.1007/978-3-319-27261-0_48).

Full text not available from this repository.

Abstract

The world is a dynamic place, so when we use graphs to help understand real world problems the structure of such graphs inevitably changes over time. Understanding this change is important, but often challenging. Techniques for general purpose dynamic graph visualizations generally fall into one of two broad categories: animation or timeline based techniques [2]. Simple approaches using animation or small multiples experience challenges with change blindness and “preserving the user’s mental map” [1]. Storyline visualization techniques [5, 7] hold promise, though these techniques were not originally designed as general purpose solutions for dynamic graph visualization.

Item Type:Conference Poster
Classifications:M Methods > M.300 Dynamic / Incremental / Online
P Styles > P.999 Others
S Software and Systems > S.120 Visualization
ID Code:1522

Repository Staff Only: item control page

References

Archambault, D., Purchase, H., Pinaud, B.: Animation, small multiples, and the effect of mental map preservation in dynamic graphs. IEEE Trans. Visual. Comput. Graph. 17(4), 539–552 (2011)

Beck, F., Burch, M., Diehl, S., Weiskopf, D.: The State of the Art in Visualizing Dynamic Graphs. EuroVis, STAR (2014)

Liu, S., Wu, Y., Wei, E., Liu, M., Liu, Y.: StoryFlow: tracking the evolution of stories. IEEE Trans. Visual. Comput. Graph. 19(12), 2436–2445 (2013)

Sakai, S., Togasaki, M., Yamazaki, K.: A note on greedy algorithms for the maximum weighted independent set problem. Discrete Appl. Math. 126, 313–322 (2003)

Tanahashi, Y., Hsueh, C.H., Ma, K.L.: An efficient framework for generating storyline visualizations from streaming data. IEEE Trans. Visual. Comput. Graph. 6(1), 1–1 (2015)

Tanahashi, Y., Ma, K.L.: Design considerations for optimizing storyline visualizations. IEEE Trans. Visual. Comput. Graph. 18(12), 2679–2688 (2012)

Vehlow, C., Beck, F., Auwärter, P., Weiskopf, D.: Visualizing the evolution of communities in dynamic graphs. Comput. Graph. Forum 34, 277–288 (2015)