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VISAGE: Interactive Visual Graph Querying.

Robert Pienta1, Shamkant Navathe1, Acar Tamersoy1

  • 1Georgia Tech.

AVI : Proceedings of the Workshop on Advanced Visual Interfaces. AVI (Conference)
|May 30, 2017
PubMed
Summary
This summary is machine-generated.

VISAGE is an interactive visual graph querying tool that simplifies complex data analysis. It enables faster, more intuitive graph query construction for users without coding expertise.

Keywords:
Graph Querying and MiningInteraction DesignVisualization

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Area of Science:

  • Computer Science
  • Data Visualization
  • Graph Databases

Background:

  • Extracting meaningful patterns from large network datasets is a significant challenge across various scientific and business domains.
  • Traditional graph querying often requires complex coding, posing a barrier for non-expert users.
  • The need for intuitive and efficient tools for network data exploration is critical.

Purpose of the Study:

  • To introduce VISAGE, an interactive visual approach for querying large network datasets.
  • To empower users to construct complex graph queries without extensive programming knowledge.
  • To enhance the speed and usability of graph data exploration.

Main Methods:

  • Developed VISAGE, an interactive visual graph querying system.
  • Incorporated 'graph autocomplete' to guide users in query construction and refinement.
  • Employed a data-driven approach for flexible query specificity, from example-based to abstract matching.
  • Conducted a 12-participant within-subject user study to evaluate usability and efficiency.

Main Results:

  • VISAGE significantly reduces the time required to construct graph queries compared to conventional query languages.
  • User study participants found VISAGE easy to use and effective for their tasks.
  • The system demonstrates sub-second response times on large graphs (over 468K edges) for common queries.

Conclusions:

  • VISAGE offers a user-friendly and efficient solution for interactive graph querying.
  • The system's visual and guided approach lowers the barrier to entry for complex network data analysis.
  • VISAGE facilitates faster pattern discovery in large-scale network datasets.