时间图的嵌入式距离
Lorenzo Dall'Amico1, Alain Barrat2, Ciro Cattuto3
1ISI Foundation, Turin, 10126, Italy. lorenzo.dallamico@isi.it.
Nature communications
|November 17, 2024
概括
我们为时间图表引入了一种新的距离度量,使整个图表可以进行比较. 这种方法有效地量化了相似性,即使对于具有不同节点和时间跨度的图形,也能有效地量化相似性,从而推进了时间网络分析.
科学领域:
- 复杂的系统复杂的系统.
- 网络科学 网络科学
- 数据挖掘 数据挖掘
背景情况:
- 时间图可以模拟系统中的动态关系.
- 现有的方法很难量化整体时间图的相似性.
- 将时间图与不同结构进行比较仍然具有挑战性.
研究的目的:
- 开发一种可靠的方法来量化时间图之间的相似性.
- 引入适用于不同节点和时间跨度的图形的距离度量.
- 为了使时间网络演变的全面分析.
主要方法:
- 利用从尊重时间的随机步行中获得的嵌入式.
- 定义一种用于时间图比较的新型距离测量方法.
- 对匹配和不匹配的图表对进行调整.
主要成果:
- 拟议的距离度量有效地根据拓和时间属性对时间图进行区分.
- 该方法适用于具有不同节点数和时间跨度的时间图.
- 经验和合成数据验证了距离的有效性.
结论:
- 为时间图建立了一个新的,明确的距离度量.
- 这一指标为分析时间网络动态提供了强大的工具.
- 有效的实施支持大规模的时间图分析.
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