loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2005 IEEE Symposium on Information Visualization (InfoVis 2005)
Vizster: Visualizing Online Social Networks
Minneapolis, MN USA
October 23-October 25
ISBN: 0-7803-9464-x
Jeffrey Heer, Computer Science Division, University of California, Berkeley
Danah Boyd, School of Information Management and Systems, University of California, Berkeley
Recent years have witnessed the dramatic popularity of online social networking services, in which millions of members publicly articulate mutual "friendship" relations. Guided by ethnographic research of these online communities, we have designed and implemented a visualization system for playful end-user exploration and navigation of large-scale online social networks. Our design builds upon familiar node-link network layouts to contribute customized techniques for exploring connectivity in large graph structures, supporting visual search and analysis, and automatically identifying and visualizing community structures. Both public installation and controlled studies of the system provide evidence of the system's usability, capacity for facilitating discovery, and potential for fun and engaged social activity.
Index Terms:
social networks, visualization, graphs, community,data mining, exploration, play
Citation:
Jeffrey Heer, Danah Boyd, "Vizster: Visualizing Online Social Networks," ieee_infovis, pp.5, 2005 IEEE Symposium on Information Visualization (InfoVis 2005), 2005
Usage of this product signifies your acceptance of the Terms of Use.