基于关系图的人物关系可视化实现

2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI:10.1109/ICAA53760.2021.00147

Xingda Sun, Caixia Lu, Jia He, Yuan Liu, Yuanyuan Zhao, Yimeng Wang, Ye Du

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引用次数: 0

摘要

通过大数据分析，构建了多层次、多维度的领导干部标签库。在统计数据信息特征的基础上，建立通用信息的员工岗位标签、组织标签、关键事件标签，实现对数据信息的快速筛选和分析。最后将人员的四个关系维度以数据可视化的形式展现出来，分别是前同事、现同事、老乡和校友。

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Realization of Visualization of Character Relationship Based on Relationship Graph

Through big data analysis, a multi-level and multi-dimensional tag database of leading cadres has been constructed. Based on the statistics of the characteristics of data information, establish staff position tags, organization tags, and key event tags for common information to achieve rapid screening and analysis of data information. Finally, the four relationship dimensions of the personnel are displayed in the form of data visualization, namely, former colleagues, current colleagues, fellow villagers and alumni.

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2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)

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