SocioPedia+:一个用于基于社会知识图表的视觉分析系统,以事件探索为基础
Tra My Nguyen1, Hong-Woo Chun2, Myunggwon Hwang3
1Department of Computer Engineering, Chung-Ang University, Seoul, Korea.
PeerJ. Computer science
|June 22, 2023
概括
SocioPedia+通过视觉分析和知识图表来增强社交事件的探索. 这种实时系统可以在多个层面上对各种社会数据提供更深入的见解.
科学领域:
- 计算机科学 计算机科学
- 信息科学 信息科学 信息科学
- 数据可视化 数据可视化
背景情况:
- 由于其体积和复杂性,社交网络数据给事件探索带来了挑战.
- 传统的视觉分析 (VA) 系统在处理多样化和大规模的社会事件数据方面存在局限性.
- 需要先进的系统来从社会事件中获得全面的见解.
研究的目的:
- 推出SocioPedia+,这是一个实时视觉分析系统,用于社交事件探索.
- 通过将社会知识图形分析与多变量分析相结合来增强事件探索.
- 为了实现从宏观事件层面到微观知识层面的详细分析.
主要方法:
- 开发了SocioPedia+,一个实时视觉分析系统.
- 整合社会知识图形分析到多变量分析中,以加强探索.
- 为多层次事件分析 (从宏观到微观) 进行优化可视化.
主要成果:
- 社交Pedia+显著增强了社会事件探索的过程.
- 与传统的VA系统相比,该系统能够实现更广泛的事件探索任务.
- 案例研究证明了该系统的实用性和可视化有效性.
结论:
- SocioPedia+为实时社交事件探索提供了一个强大的解决方案.
- 整合知识图表可以提高社会数据的洞察力的深度和广度.
- 该系统对于需要社会事件分析的各种应用程序是有效的.
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