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Network Analysis is Hard

GraphTrail: Analyzing Large Multivariate, Heterogeneous Networks while Supporting Exploration History. Cody Dunne 1,2 , Nathalie Henry Riche 1 , Bongshin Lee 1 , Ronald A. Metoyer 3 , and George G. Robertson 1 1 Microsoft Research 2 University of Maryland, College Park

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Network Analysis is Hard

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  1. GraphTrail: Analyzing Large Multivariate, Heterogeneous Networks while Supporting Exploration History Cody Dunne1,2, Nathalie Henry Riche1, Bongshin Lee1, Ronald A. Metoyer3, and George G. Robertson1 1Microsoft Research 2University of Maryland, College Park 3Oregon State University

  2. Network Analysis is Hard Networks can be • Large & complex • Multivariate • Heterogeneous Analysis can take • Many sessions • Many users

  3. Who Uses Network Analysis

  4. GraphTrail • Aggregation • Drag-and-drop interactions • Integrated exploration history

  5. Design–Aggregating Charts

  6. Design–Drag & Drop Interaction

  7. Design–Pivoting & Derived Attributes A2 A3 • Author • Name • Affiliation • Paper.Topic* part of author A1 P1 cites • Paper • Topic • Year P2 • Proceeding • Country • Date

  8. Design–Visual Exploration History

  9. Lab Study • Can GraphTrail make the same findings as other tools? • Can new users make findings? • Can new users understand the exploration history?

  10. Lab Study • Can GraphTrail make the same findings as other tools? Yes, and more! “Find all papers written by all Japanese authors”

  11. Lab Study–Exploration • Can new users make findings? “What can you tell me about HCI research in Georgia?”

  12. Lab Study–History • Can new users understand the exploration history? Yes, and often motivation too!

  13. Field Study With Archaeologists “How were Iron-Age communities integrated into the political and economic structure of the Roman Empire?” “How were urban social hierarchies within the Roman provinces structured and articulated?” Brughmans, T., et al., 2011

  14. Field Study–Current Practice . . .

  15. Field Study–GraphTrail Analyses

  16. Field Study–Sharing “the way I structured it makes sense to me.”

  17. Field Study–Sharing Municipality = ÉcijaOR Marchena

  18. Field Study–Sharing Dig Sites Tag Cloud Municipality = Écija OR Marchena Grouped by Ceramic Component

  19. Discussion • Exposing exploration history without extra effort • Scalability • Number of nodes, edges, types • Number of charts 20 – 30 per session

  20. GraphTrail Overview • A system for exploring largemultivariate, heterogeneousnetworks using aggregation by node and edge attributes, • A method for capturing a user’s explorationhistory and integrating it directly into the workspace, and • A longitudinal field study and a qualitative lab study that prove the utility of these approaches. Play with GraphTrail at interactivity today! Exhibit i427, 12:50 – 14:30

  21. GraphTrail: Analyzing Large Multivariate, Heterogeneous Networks while Supporting Exploration History Cody Dunne, Nathalie Henry Riche, Bongshin Lee, Ronald A. Metoyer, and George G. Robertson Play with GraphTrail at interactivity today! Exhibit i427, 12:50 – 14:30

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