glo stix graph level operations for specifying techniques
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+ GLO-STIX: Graph-Level Operations for Specifying Techniques and - PowerPoint PPT Presentation

+ GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration Presented by: Nayantara Duttachoudhury + GLO and GLO-STIX n GLO: Graph Level Operations n 34 GLOs categorized into 5 classes. n Example: Evenly


  1. + GLO-STIX: Graph-Level Operations for Specifying Techniques and Interactive eXploration Presented by: Nayantara Duttachoudhury

  2. + GLO and GLO-STIX n GLO: Graph Level Operations n 34 GLO’s categorized into 5 classes. n Example: Evenly distribute nodes on x or y by {categorical attribute}. n GLO-STIX: Application for applying these GLO’s to graphs

  3. + Why? n Even though there are many graph visualization techniques, each technique captures different aspects of the data and is good for separate tasks. n If an analyst wants to perform multiple tasks, he would need multiple visualizations.

  4. + Finding Graph Level Operations n Force – Directed Diagram n Circle Plot n Scatterplot n Semantic Substrates n PivotGraph n Adjacency Matrix

  5. + Advantages of GLO’s n Graph Exploration and Discovering New Techniques n Easing the Engineering Challenge Multi-dimensional technique akin to a hive plot or star diagram.

  6. + Arc Diagram–Semantic Substrates-PivotGraph

  7. + Types of GLO’s n Positioning Nodes n Evenly Distribute Nodes on x or y n Modifying Element Properties n Size nodes by {constant} n Cloning Nodes n Clone Active Generation n Aggregating Nodes and Edges n Aggregate by {categorical attribute} n Modifying Display Properties n Show x or y axis

  8. + Properties of GLO’s n Duplication of GLO’s n Parameterized GLO’s n Complementary GLO’s n The Generation Parameter n Application of Techniques

  9. + GLO-STIX n Implemented as a browser-based application. n Written in Javascript using D3.js, jQuery, Bootstrap and jQueryUI n Example dataset used: Les Mis´erables character co-occurrence graph. n 76 nodes n 254 edges

  10. + A screenshot of the GLO-STIX user interface showing a user exploring the Les Mis´erables character co-occurrence graph using graph-level operations (GLOs).

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  12. + Critique n Limitations mentioned in the paper n Does not support sub-graph selection or edge bundling. n No support for undirected graphs, or advanced directed graph such as trees. n Usability : length of list of active GLO’s can become very long and confusing – No user study. n Limitations not mentioned in the paper n How does GLO-STIX work for bigger graphs? n A user may end up creating visualizations which are completely useless by applying different GLO’s. Too much flexibility may not be good.

  13. + Thank you! Questions?

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