GraphDice: A System for Exploring Multivariate Social Networks

680 views

Published on

Slides from IEEE EuroVis 2010 on our GraphDice system.

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
680
On SlideShare
0
From Embeds
0
Number of Embeds
6
Actions
Shares
0
Downloads
8
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

GraphDice: A System for Exploring Multivariate Social Networks

  1. 1. 1<br />GraphDiceA System for Exploring Multivariate Social Networks<br />Dagstuhl edition<br />Pierre <br />Dragicevic<br />- The Good -<br />Jean-Daniel <br />Fekete<br />- The Ugly -<br />Anastasia <br />Bezerianos<br />Niklas<br />Elmqvist<br />- The Bad -<br />Fanny <br />Chevalier<br />
  2. 2. 2<br />Social Network Analysis<br />Intrinsic<br />attributes<br /><ul><li> # publications
  3. 3. # citations
  4. 4. year
  5. 5. authoring</li></ul> position<br /><ul><li>…</li></ul>Computed<br />attributes<br /><ul><li>degree
  6. 6. betweeness</li></ul>centrality<br /><ul><li>clustering</li></ul> coefficient<br /><ul><li>…</li></li></ul><li>3<br />Social Network Analysis<br />Intrinsic<br />attributes<br /><ul><li> # publications
  7. 7. # citations
  8. 8. year
  9. 9. authoring</li></ul> position<br /><ul><li>…</li></ul>Computed<br />attributes<br /><ul><li>degree
  10. 10. betweeness</li></ul>centrality<br /><ul><li>clustering</li></ul> coefficient<br /><ul><li>…</li></li></ul><li>4<br />Motivation<br />Target Users: Social network analysts<br />Design Rationale:<br />Consistent and simple representation and interaction<br />Edge and node attribute visualization<br />Link between tabular data and vis<br />
  11. 11. 5<br />GraphDice Interface<br />
  12. 12. 6<br />GraphDice Interface<br />
  13. 13. 7<br />GraphDice Interface<br />
  14. 14. Control Menu<br />8<br />
  15. 15. 9<br />Dynamic Queries<br />
  16. 16. 10<br />Selection History<br />
  17. 17. Transient Buttons<br />11<br />
  18. 18. Jitter<br />12<br />
  19. 19. Zoom<br />13<br />
  20. 20. Zoom<br />14<br />
  21. 21. User Feedback<br />15<br />“Easy to use, but it took a bit to understand edge attributes”<br />“have all combinations of attributes immediately available to quickly explore hypothesis”<br />“can be used to communicate findings”<br />“animation helps to compare attributes”<br />“tables give security and confidence that I am looking at the correct data”<br />
  22. 22. Directed Networks<br />16<br />
  23. 23. Data Tables<br />17<br />
  24. 24. Conclusion<br />18<br />Unified representation of<br /><ul><li>topology-based layout / cartographic positions
  25. 25. intrinsic attributes
  26. 26. computed measures
  27. 27. edge attributes</li></ul>Consistent and visible interaction<br />History management<br />Coordinated visual and tabular representations<br />
  28. 28. Thankyou<br />www.aviz.fr/graphdice<br />19<br />

×