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SocioPedia+: a visual analytics system for social knowledge graph-based event exploration.

Tra My Nguyen1, Hong-Woo Chun2, Myunggwon Hwang3

  • 1Department of Computer Engineering, Chung-Ang University, Seoul, Korea.

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|June 22, 2023
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Summary
This summary is machine-generated.

SocioPedia+ enhances social event exploration using visual analytics and knowledge graphs. This real-time system offers deeper insights into diverse social data across multiple levels.

Keywords:
Event detection and explorationKnowledge graphSocioPediaVisual analytics

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Area of Science:

  • Computer Science
  • Information Science
  • Data Visualization

Background:

  • Social network data presents challenges for event exploration due to its volume and complexity.
  • Conventional visual analytics (VA) systems have limitations in handling diverse and large-scale social event data.
  • There is a need for advanced systems to derive comprehensive insights from social events.

Purpose of the Study:

  • To introduce SocioPedia+, a real-time visual analytics system for social event exploration.
  • To enhance event exploration by integrating social knowledge graph analysis with multivariate analysis.
  • To enable detailed analysis from macroscopic event levels to microscopic knowledge levels.

Main Methods:

  • Developed SocioPedia+, a real-time visual analytics system.
  • Integrated social knowledge graph analysis into multivariate analysis for enhanced exploration.
  • Optimized visualization for multi-level event analysis (macroscopic to microscopic).

Main Results:

  • SocioPedia+ significantly enhances the process of social event exploration.
  • The system enables a wider range of event exploration tasks compared to conventional VA systems.
  • Case study demonstrates the system's usefulness and visualization effectiveness.

Conclusions:

  • SocioPedia+ provides a powerful solution for real-time social event exploration.
  • Integrating knowledge graphs improves the depth and breadth of insights from social data.
  • The system is effective for diverse applications requiring social event analysis.