department of computer science software engineering, graphics, and visualization research group 15th...

DEPARTMENT OF COMPUTER SCIENCESOFTWARE ENGINEERING, GRAPHICS, AND VISUALIZATION RESEARCH GROUP

15th International Conference on Information Visualisation 2011

PieVis: Interactive Graph Visualization Using a Rings-Based Tree Drawing

Algorithm for Children and Crust Display for Parents

Presented by: Dr. Adrian Rusu

Adrian Rusu, Bryan Petzinger and Andrew FabianDepartment of Computer Science, Rowan University, USA

Andrew CrowellFederal Aviation Administration, William J Hughes Technical Center, USA

Introduction

• Interactive focus+context graph visualization• Visualize large or infinite graphs• Incremental exploration

• Graph traversal through user interaction• Maintain consistent view/layout to prevent user

disorientation• Interconnects tree and graph drawing techniques


WebGPS


• Usage Example – Web visualization

• Synchronization

• As user navigates through visualization, the focal node is displayed in browser

• Complementary relationship

• PieVis shows orientation within graph and relationships between nodes

• Browser provides content

WebGPS


• Usage Example – Web visualization

Drawing Algorithm

• Transform input graph to a tree, without losing information

• Duplicate vertices of graph

• Resulting tree has all edges, but may have more nodes than original input graph


Drawing Algorithm

• (A) Directed graph• (B) Tree corresponding

to graph• (C) Connections are re-

established when more detail is shown


FastRings

• Real-time visualization requires visualization to be rendered on the fly

• Original algorithm (RINGS) was bottom-up– Required entire tree to be traversed before it

could be drawn• FastRings developed from original RINGS, but as

a top-down algorithm– Rendering may begin as soon as first level of

tree is crawled


Node and Subtree Highlighting


• Conversion from graph to tree may result in missing links

• User interaction can be utilized to rediscover this information

• Hovering over a node reveals where that node occurs in other areas of the graph through highlighting

Node and Subtree Highlighting


• Hovering over a deep node reveals the subtrees containing that node by outlining corresponding nodes

• Node and subtree highlighting combined allow the user to see multiple connections without introducing edges

Parent Display


• The parents of the node are displayed in a crust around the outer edge of the largest circular node similar to the crust of a pie

• Parent nodes have same functionality as child nodes – e.g. navigation, highlighting and labeling

Incremental Exploration

• Designed for large systems• Graph may be too large to display in its entirety

while still maintaining a high level of detail• Viewed from perspective of a particular node• Select nodes of interest to navigate through

graph• Degree of Interest (DOI)

• Users have flexibility in setting up the level of suppression based on their DOI


History


• History nodes are added to the visualization as graph is traversed

• Provides user the ability to see where they have been, and how that relates to where they are going

User Study


• 8 participants: 5 technical and 3 non-technical

• 24 questions, objective and subjective

• Objective questions: had a definitive correct answer

• E.g. browsing to a given node, counting or locating specific information

• Subjective questions: open to interpretation

• E.g. identify the most popular account in a social network

• Participants were asked to provide an explanation for their reasoning in addition to their answer

• Evaluate PieVis in situations which require critical thinking and problem solving

Results


Tabulated results from the user study. Tasks have been grouped into five types; browsing, content, search, counting and subjective. Ratings marked 'x' indicate tasks that were incomplete or incorrect.

Results


• Browsing and searching related tasks were rated highest• Average rating of approximately 4.5 (browsing) and 4.7

(searching).• These results are very good as they are the main areas of

interest for an incremental exploration tool such as PieVis

• Tasks that required contextual information were rated the lowest with an average rating of approximately 2.8

• This is an expected result as PieVis does not attempt to visualize content

• This area is well handled by existing methods which PieVis is meant to supplement.

• Overall the study was very successful with an average task rating of 4.15/5


CONCLUSION

• We interact with large/infinite graphs everyday

• Internet

• Social networks

• File systems

• Common applications provide a view of only one node at a time

• Single webpage in a browser

• Directory in a file explorer

• One Twitter/Facebook/etc account

• PieVis provides a visualization system for exploring graphs of any size in real time

• See relationships between nodes

• Understand current position as it relates to the rest of the graph


QUESTIONS

Contact and Research Information

Dr. Adrian Rusu: [email protected]://elvis.rowan.edu/~rusu

Bryan Petzinger: [email protected] Crowell: [email protected] Fabian: [email protected]

SEGV Research Group Homepage: http://cs.rowan.edu/segv

Thank you!

department of computer science software engineering, graphics, and visualization research group 15th...

Documents

graphb tree

level of tree

focal node

deep node

uprequired entire tree

largest circular node

original rings

crust display