Innovation

A Scalable Technique For Interactive Visualization Of Large Node-Link Graphic In A Web Browser

University of California System: University of California, Santa Barbara
posted on 10/05/2009

 A new tool capable of interactively visualizing millions of connected entities, natively in a web browser, without any plugins

Suggested Uses

  • Social Web Analytics
  • Large Graph Analysis
  • Embedded Visualization of any Graph Data (natively in any browser)  

This technology is available for licensing. 

Advantages

  • Scalable graph visualizations
  • Native in all web-browsers
  • No client-based graph processing required
  • Highly interactive, even for graphs of hundreds of thousands of nodes
  • Embeddable in any web page
  • Capable of visualization of RDF/XML and other semantic web content

Innovation Details
 

Detailed Description

Researchers at the University of California, Santa Barbara have developed a new tool capable of interactively visualizing millions of connected entities, natively in a web browser, without any plugins. For the end user, the experience is similar to a Java Applet or other dynamic web technology, but without the inherent scalability limitations of client-side processing. The novel approach results in a smooth, interactive, real-time animation based on mouse movements in the browser.  

File Number: 19861 

Other Information:

Background

Recently, there has been an increase in activity on social web sites and many other online communities. Such sites produce rich network data, which can be very large scale and difficult to analyze. Most searches on the web are conducted using text, which has several limitations. The best tools available at the moment can only visualize hundreds (in some case thousands) of nodes before they slow to unusable states.


IP Protection

Copyright: ©2009-2011, The Regents of the University of California

License Online

This innovation currently is not available for online licensing. Please contact Franco Caporale at University of California System: University of California, Santa Barbara for more information.

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Case Manager:

Franco Caporale Franco Caporale

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February 11, 2009

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