XSiteTraj:一个跨站点用户轨迹数据集
1School of Computer, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, PR China.
Data in brief
|December 6, 2023
概括
研究人员发布了XSiteTraj v1.0,这是一个大规模的社交网络用户链接数据集. 这一数据集解决了开发和评估用户识别方法的公共数据的严重短缺问题.
科学领域:
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
- 社交网络分析 社交网络分析
背景情况:
- 社交网络是日常生活的组成部分,推动了跨平台有效用户识别的需求.
- 目前的用户识别方法缺乏足够的公共数据集,阻碍了研究和开发.
- 现有的数据集往往不是公开可用的,这在现场造成了重大瓶.
研究的目的:
- 介绍XSiteTraj v1.0,一个新的,大规模的数据集,用于社交网络用户链接.
- 为推进用户识别算法和推系统提供有价值的资源.
- 支持对不同社交媒体平台的用户行为模式的研究.
主要方法:
- XSiteTraj v1.0 数据集是通过从Facebook,Foursquare和Twitter上抓取数据来创建的.
- 它包括超过27000名用户和全球超过一百万的入住记录.
- 每个记录都包含时间,感兴趣点 (PoI) 和地理坐标,并标记了不同站点的相同用户.
主要成果:
- 该数据集提供了广泛的时空覆盖,对于现实的用户识别研究至关重要.
- 它可以研究用户的行为习惯,并评估跨平台用户识别算法.
- XSiteTraj v1.0 为开发和测试新的用户链接技术提供了一个基准.
结论:
- XSiteTraj v1.0的发布直接解决了学术界对大规模公共用户链接数据的需求.
- 预计这一数据集将加速社交网络用户识别和相关领域的进展.
- 研究人员可以利用XSiteTraj v1.0进行关于用户行为和算法性能评估的实证研究.
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