skip to main content
10.1145/2488388.2488504acmotherconferencesArticle/Chapter ViewAbstractPublication PageswwwConference Proceedingsconference-collections
research-article

Google+Ripples: a native visualization of information flow

Published:13 May 2013Publication History

ABSTRACT

G+ Ripples is a visualization of information flow that shows users how public posts are shared on Google+. Unlike other social network visualizations, Ripples exists as a "native" visualization: it is directly accessible from public posts on Google+. This unique position leads to both new constraints and new possibilities for design. We describe the visualization technique, which is a new mix of node-and-link and circular treemap metaphors. We then describe user reactions as well as some of the patterns of sharing that are made evident by the Ripples visualization.

References

  1. B. Bederson and J. Hollan, 1994. Pad++: a zooming graphical interface for exploring alternate interface physics. UIST 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. R. Boardman, 2000. "Bubble Trees: The Visualization of Hierarchical Information Structures". Proceedings of CHI 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Bostock, V. Ogievetsky, J. Heer, 2011. D3: Data-Driven Documents. IEEE VisWeek 2011.Google ScholarGoogle Scholar
  4. A. DiSilvestro, 2012. "google+ Ripples Explained," Search Engine Journal. http://www.searchenginejournal.com/google-ripples-explained/48275/ Downloaded Nov. 11, 2012.Google ScholarGoogle Scholar
  5. J. Donath, K. Karahalios, F. Viégas, 2002. Visualizing Conversation. Hawaii International Conference on Systems Science. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. K. Etemad, S. Carpendale, 2009. Shamsehtrees: Providing hierarchical context for nodes of interest. Proceedings of Bridges 2009, 293--300.Google ScholarGoogle Scholar
  7. Facebook Friend Wheel. http://thomas-fletcher.com/friendwheel/Google ScholarGoogle Scholar
  8. I. Herman, G. Melancon, M. S. Marshall 2000. "Graph visualization and navigation in information visualization: A survey." IEEE TVCG Jan-Mar. 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Kleiberg, E., van de Wetering, H., J. van Wijk, J., 2001. "Botanical Visualization of Huge Hierarchies," IEEE InfoVis '01. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. J. Leskovec, L. Backstrom, J. Kleinberg. Meme-tracking and the dynamics of the news cycle. Proc. 15th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. J. Thorp and M. Hansen, 2011. Cascade. As described by Suzanne Labarre, "Infographic of the Day: 3D Model Unlocks Secrets of the Twitterverse", Fast Company Online. http://www.fastcodesign.com/1663694/infographic-of-the-day-3-d-model-unlocks-secrets-of-twitterverse-videoGoogle ScholarGoogle Scholar
  12. A. Moore, 1991. "An introductory tutorial on kd-trees," tech. report Technical Report No. 209, Computer Laboratory, University of Cambridge.Google ScholarGoogle Scholar
  13. T. Moore. Tim Moore Online, downloaded Feb. 26, 2012. http://timmooreonline.blogspot.com/2012/01/case-study-google-vs-facebook.htmlGoogle ScholarGoogle Scholar
  14. P. Neumann, S. Carpendale, A. Agarawala. 2006 "Phyllotrees: Phyllotactic patterns for tree layout." EUROVIS-Eurographics/IEEE VGTC Symposium on Visualization, 59--66 Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Q. Nguyen and M. Huang, 2005. "EncCon: an approach to constructing interactive visualization of large hierarchical data," Information Visualization 2005 4, pp. 1--21. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. SocialFlow, 2011. http://socialflow.comGoogle ScholarGoogle Scholar
  17. B. Shneiderman, M. Wattenberg 2001. "Ordered Treemap Layouts" IEEE Infovis 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. A. Vande Moore (downloaded 2012) Information Aesthetics Blog. http://infosthetics.com/Google ScholarGoogle Scholar
  19. F. Viégas,. M. Wattenberg, J. Feinberg, 2009. "Participatory Visualization with Wordle". IEEE Infovis, 2009.Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. F. Viégas,. M. Wattenberg, F. van Ham, J. Kriss, M. McKeon, 2007. "Many Eyes: A Site for Visualization at Internet Scale". IEEE Infovis, 2007.Google ScholarGoogle Scholar
  21. F. Viégas, M. Wattenberg, M. McKeon, F. van Ham, J. Kriss, 2008. "Harry Potter and the Meat-Filled Freezer: A Case Study of Spontaneous Usage of Visualization Tools." Hawaii Int'l Conf. Sys. Sci. (HICSS), 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. YouTube Insights. http://www.youtube.com/t/advertising_insightGoogle ScholarGoogle Scholar
  23. http://www.guardian.co.uk/media-network/media-network-blog/2012/feb/15/advantages-google-digital-marketing?newsfeed=trueGoogle ScholarGoogle Scholar
  24. W. Wang, H. Wang, G. Dai, H. Wang, 2006. "Visualization of Large Hierarchical Data by Circle Packing," Proceeding of CHI 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. M. Wattenberg, 2005. "A Note on Space-Filling Visualizations and Space-Filling Curves". IEEE InfoVis 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. K. Wetzel. "pebbles." http://lip.sourceforge.net/ctreemap.htmlGoogle ScholarGoogle Scholar
  27. R. Xiong and E. Brittain, 1999. LiveWeb: Visualizing live user activities on the Web SIGGRAPH. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Google+Ripples: a native visualization of information flow

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      WWW '13: Proceedings of the 22nd international conference on World Wide Web
      May 2013
      1628 pages
      ISBN:9781450320351
      DOI:10.1145/2488388

      Copyright © 2013 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 13 May 2013

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      WWW '13 Paper Acceptance Rate125of831submissions,15%Overall Acceptance Rate1,899of8,196submissions,23%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader