Multivariate network exploration with JauntyNets

Proceedings of the International Conference on Information Visualisation

Volumn , Issue , 2013, Pages 19-27

  Jusufi, Ilir ^a   Kerren, Andreas ^a   Zimmer, Bjorn ^a  

^a LINNAEUS UNIVERSITY   (Sweden)

Author keywords

Attribute driven layout; Force based layouts; Graph drawing; Interaction; Multivariate networks; Network visualization; Visual analytics

Indexed keywords

ATTRIBUTE-DRIVEN LAYOUT; FORCE-BASED; GRAPH DRAWING; INTERACTION; MULTIVARIATE NETWORK; NETWORK VISUALIZATION; VISUAL ANALYTICS;

DRAWING (GRAPHICS); ELECTRIC NETWORK TOPOLOGY;

VISUALIZATION;

EID: 84893339437     PISSN: 10939547     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IV.2013.3     Document Type: Conference Paper

References (33)

1. M. Albrecht, A. Kerren, K. Klein, O. Kohlbacher, P. Mutzel, W. Paul, F. Schreiber, and M. Wybrow, On open problems in biological network visualization, in Proc. International Symposium on Graph Drawing (GD '09), ser. LNCS, vol. 5849. Springer, 2010, pp. 256-267.
2. C. Ware, Information Visualization: Perception for Design, 2nd ed. Morgan Kaufmann, 2004.
3. J. Abello and F. Van Ham, Matrix zoom: A visual interface to semi-external graphs, in Proceedings of the IEEE Symposium on Information Visualization. Los Alamitos, CA, USA: IEEE Computer Society, 2004, pp. 183-190.
4. N. Henry, J.-D. Fekete, and M. J. McGuffin, Nodetrix: A hybrid visualization of social networks, IEEE Transactions on Visualization and Computer Graphics, vol. 13, pp. 1302-1309, 2007.
5. I. Jusufi, Towards the visualization of multivariate biochemical networks, Licentiate Thesis, Linnaeus University, 2012.
6. R. Spence, Information Visualization: Design for Interaction, 2nd ed. Prentice Hall, 2007.
7. C. G̈org, M. Pohl, E. Qeli, and K. Xu, Visual Representations, in Human-Centered Visualization Environments, ser. LNCS Tutorial 4417, A. Kerren, A. Ebert, and J. Meyer, Eds. Springer, 2007, pp. 163-230.
8. J. C. Roberts, Exploratory visualization with multiple linked views, in Exploring Geovisualization, A. MacEachren, M.-J. Kraak, and J. Dykes, Eds. Elseviers, December 2004.
9. [Online]. Available: Http://www.cs.kent.ac.uk/pubs/2004/1822
10. L. Borisjuk, M.-R. Hajirezaei, C. Klukas, H. Rolletschek, and F. Schreiber, Integrating data from biological experiments into metabolic networks with the dbe information system. In Silico Biol, vol. 5, no. 2, pp. 93-102, 2005.
11. A. Kerren, A. Ebert, and J. Meyer, Eds., Human-Centered Visualization Environments, ser. LNCS Tutorial 4417. Springer, 2007.
12. I. Jusufi, Y. Dingjie, and A. Kerren, The network lens: Interactive exploration of multivariate networks using visual filtering, in Information Visualisation (IV), 2010 14th International Conference, July 2010, pp. 35-42.
13. B. Shneiderman and A. Aris, Network visualization by semantic substrates, IEEE Transactions on Visualization and Computer Graphics, vol. 12, pp. 733-740, 2006.
14. M. Wattenberg, Visual exploration of multivariate graphs, in CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems. New York, NY, USA: ACM, 2006, pp. 811-819.
15. A. J. Pretorius and J. J. Van Wijk, Visual inspection of multivariate graphs, Comput. Graph. Forum, vol. 27, no. 3, pp. 967-974, 2008.
16. D. Archambault, T. Munzner, and D. Auber, Tuggraph: Pathpreserving hierarchies for browsing proximity and paths in graphs, in Visualization Symposium, 2009. PacificVis '09. IEEE Pacific, april 2009, pp. 113-120.
17. D. Archambault, T. Munzner, and D. Auber, Grouseflocks: Steerable exploration of graph hierarchy space, Visualization and Computer Graphics, IEEE Transactions on, vol. 14, no. 4, pp. 900-913, july-aug. 2008.
18. A. Bezerianos, F. Chevalier, P. Dragicevic, N. Elmqvist, and J.-D. Fekete, Graphdice: A system for exploring multivariate social networks, Computer Graphics Forum (Proc. EuroVis 2010), vol. 29, no. 3, pp. 863-872, 2010.
19. Y. Wu and M. Takatsuka, Visualizing multivariate network on the surface of a sphere, in Asia Pacific Symposium on Information Visualisation, 2006, pp. 77-83.
20. Z. Shen and K.-L. Ma, Mobivis: A visualization system for exploring mobile data, in Proceedings of IEEE Pacific Visualization Symposium. IEEE VGTC, 2008, pp. 175-182.
21. M. Rohrschneider, A. Ullrich, A. Kerren, P. F. Stadler, and G. Scheuermann, Visual network analysis of dynamic metabolic pathways, in Proceedings of the 6th international conference on Advances in visual computing-Volume Part I, ser. ISVC'10. Berlin, Heidelberg: Springer-Verlag, 2010, pp. 316-327.
22. [Online]. Available: Http://dl.acm.org/citation.cfm?id=1939921.1939958
23. C. Viau, M. J. McGuffin, Y. Chiricota, and I. Jurisica, The flowvizmenu and parallel scatterplot matrix: Hybrid multidimensional visualizations for network exploration, IEEE Transactions on Visualization and Computer Graphics, vol. 16, pp. 1100-1108, 2010.
24. Jigsaw, Visual Analytics for Exploring and Understanding Document Collections, last accessed: 2013-02-15, http://www.cc.gatech.edu/gvu/ii/jigsaw/ datafiles.html.
25. P. Eades, A heuristic for graph drawing, Congressus Numerantium, vol. 42, pp. 149-160, 1984.
26. B. Mirkin, Clustering for Data Mining: A Data Recovery Approach. Boca Raton, FL, USA: Chapman & Hall/CRC, 2005.
27. C. A. Brewer, Colorbrewer, http://colorbrewer2.org/, last accessed: 2013-02-15.
28. Processing.org, Processing, last accessed: 2013-02-15, http://processing.org/.
29. MDSJ, Java Library for Multidimensional Scaling (Version 0.2), University of Konstanz, last accessed: 2013-02-15, http://www.inf.uni-konstanz.de/algo/ software/mdsj/.
30. Trickl, trickl-cluster, last accessed: 2013-02-15, https://github.com/ trickl/trickl-cluster.
31. gicentreUtils, giCentre Utilities, last accessed: 2013-02-15, http://gicentre.org/utils/.
32. A. Kerren and F. Schreiber, Toward the role of interaction in visual analytics, in Proceedings of the Winter Simulation Conference, ser. WSC '12. Winter Simulation Conference, 2012, pp. 420:1-420:13.
33. [Online]. Available: Http://dl.acm.org/citation.cfm?id=2429759.2430303