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A New Interactive Platform for Visual Analytics of Social Networks

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Visual Information Communication

Abstract

This paper presents a new interactive platform for visual analytics of large networks and graphs. The platform integrates multiple graph layouts, interactive navigations and clustering algorithms into an effective and flexible analytical visual environment for better understanding of the nature of variety of different networks. This could lead to the discovery and revealing of hidden structures and relationships among the network items as well as the attributes associated with particular focused elements. We provide a number of interactive navigation and exploration methods so that it can provide a flexible and controllable way to archive the preferable view for analytics. We are extending our visual analytics platform into a large and high-resolution display.

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References

  1. Lyman, P., Varian H.R.: How Much Information? University of California at Berkeley, http://www2.sims.berkeley.edu/research/projects/how-much-info-2003/

  2. Newman, M. Watts, D., Barabási A.L.: The Structure and Dynamics of Networks, Princeton University Press (2006).

    Google Scholar 

  3. Almaas, E. and Barabási A.L.: The Architecture of Complexity: From the WWW to Cellular Metabolism. In: Dynamics of Complex Interconnected Systems: Networks and Bioprocesses, NATO Sciences Series (2006).

    Google Scholar 

  4. Malhotra, Y.: Enabling Knowledge Exchanges for E-Business Communities. Information Strategy: The Executive’s Journal, pp. 26-31 (2005).

    Google Scholar 

  5. Ressler, S.: Social Network Analysis as an Approach to Combat Terrorism: Past, Present, and Future Research. Homeland Security Affairs, 2(2) (2006).

    Google Scholar 

  6. Patton, S.: Social Network Analysis Helps Maximize Collective Smarts. http://www.cio.com/article/print/6956.

  7. Auber D.: Tulip: a Huge Graph Visualization Framework, Graph Drawing Software. Mathematics and Visualization, pp. 105-126 (2003).

    Google Scholar 

  8. Abello J., van Ham F., Krishnan N.: ASK-GraphView: A Large Scale Graph Visualization System. IEEE Transactions on Visualization and Computer Graphics, 12(5), 2006.

    Google Scholar 

  9. Gort, A., Gort, James.: Survey of Network Visualization Tools. Contract Report, DRDC Ottawa CR 2007-280, Defence R&D Canada, (2007).

    Google Scholar 

  10. Thomas, J.J., Cook, K.A.: Illuminating the Path. IEEE Computer Society Press, Los Alamitos (2005).

    Google Scholar 

  11. Keim D. et al: Visual Analytics: Definition, Process, and Challenges Information Visualization. LNCS 4950, pp. 154–175 (2008).

    Google Scholar 

  12. National Visualization and Analytics Center (NVAC), http://nvac.pnl.gov.

  13. Kao, A.: Visual Analytics at the Boeing Company. VAC Consortium, (2008).

    Google Scholar 

  14. Clarke, N. and Nipp T.: Foreign Animal and Zoonotic Diseases: An Information Analysis Framework. VAC Consortium (2007).

    Google Scholar 

  15. Ribarsky, W.: Discovery Suspicious Financial Activity. VAC Consortium (2007).

    Google Scholar 

  16. Wong, P. C., Chin Jr, G., Foote, H., Mackey, P., Thomas J.: Have Green – A Visual Analytics Framework for Large Semantic Graphs. In: IEEE Symposium on Visual Analytics Science and Technology (VAST2006), pp. 67-74 (2006).

    Google Scholar 

  17. Gee, A. G. et al. Universal visualization platform. In: SPIE (2005).

    Google Scholar 

  18. Newman, M.E.J.: The Structure and Function of Complex Networks. SIAM Review, 45, pp. 167-256 (2003).

    Article  MATH  MathSciNet  Google Scholar 

  19. Huang M.L. and Nguyen Q.V.: A Fast Algorithm for Balanced Graph Clustering. In: 11th Int’l. Conf. on Information Visualisation (IV’07), IEEE, pp. 46-52 (2007).

    Google Scholar 

  20. Newman M.E.J., Girvan M.: Finding and Evaluating Community Structure in Networks. Physical Review E, 69:026113 (2004).

    Google Scholar 

  21. Nguyen, Q. V. and Huang, M. L.: EncCon: An Approach to Constructing Interactive Visualization of Large Hierarchical Data. Information Visualization Journal, Palgrave, 4(1), pp. 1-21 (2005).

    Article  Google Scholar 

  22. Eades, P.: A Heuristic for Graph Drawing. Congressus Numerantium, 42, pp. 149-60 (1984).

    MathSciNet  Google Scholar 

  23. Huang, M. L. and Nguyen, Q. V.: Large Graph Visualization by Hierarchical Clustering. Journal of Software, 19(8), pp. 1933-1946 (2008).

    Article  Google Scholar 

  24. Huang, M. L., Nguyen, Q. V.: Space-Filling Interaction with Chain-Context View. In: IEEE Symposium on Information Visualization 2008 (InfoVis 2008) - Poster Section, IEEE, Columbus, Ohio (2008).

    Google Scholar 

  25. Eades, P., Lai, W., Misue, K. and Sugiyama, K.: Preserving the mental map of a diagram. In: Compugraphics 91, pp. 24-33 (1991).

    Google Scholar 

  26. Ramsey, D. Highest-Resolution Scientific Display System. http://www.spafi.org.

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Author information

Authors and Affiliations

  1. School of Computing & Mathematics, University of Western Sydney, Sydney, Australia

    Quang Vinh Nguyen

  2. Faculty of Engineering and Information Technology, University of Technology, Sydney, Australia

    Mao Lin Huang

Authors
  1. Quang Vinh Nguyen
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  2. Mao Lin Huang
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Corresponding author

Correspondence to Quang Vinh Nguyen .

Editor information

Editors and Affiliations

  1. Dept. Information & Technology, University of Technology, Sydney, Broadway, 2007, Australia

    Mao Lin Huang

  2. School of Computing & Mathematics, University of Western Sydney, South Penrith DC, 1797, Australia

    Quang Vinh Nguyen

  3. Dept. Computer Science, University of Texas, Dallas, West Campbell Road 800, Richardson, 75080, U.S.A.

    Kang Zhang

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© 2009 Springer-Verlag US

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Nguyen, Q.V., Huang, M.L. (2009). A New Interactive Platform for Visual Analytics of Social Networks. In: Huang, M., Nguyen, Q., Zhang, K. (eds) Visual Information Communication. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0312-9_15

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  • DOI: https://doi.org/10.1007/978-1-4419-0312-9_15

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  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-0311-2

  • Online ISBN: 978-1-4419-0312-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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