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Commute Time for a Gaussian Wave Packet on a Graph

机译:图上高斯波包的通勤时间

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This paper presents a novel approach to quantifying the information flow on a graph. The proposed approach is based on the solution of a wave equation, which is defined using the edge-based Laplacian of the graph. The initial condition of the wave equation is a Gaussian wave packet on a single edge of the graph. To measure the information flow on the graph, we use the average return time of the Gaussian wave packet, referred to as the wave packet commute time. The advantage of using the edge-based Laplacian of a graph over its vertex-based counterpart is that it translates results from traditional analysis to graph theoretic domain in a more natural way. Therefore it can be useful in applications where distance and speed of propagation are important.
机译:本文提出了一种新颖的方法来量化图上的信息流。所提出的方法基于波动方程的求解,该波动方程是使用图的基于边的拉普拉斯算子定义的。波动方程的初始条件是图的单边上的高斯波包。为了测量图中的信息流,我们使用高斯波包的平均返回时间,称为波包通勤时间。使用图的基于边缘的拉普拉斯算子而不是基于顶点的对应词的优势在于,它可以更自然地将传统分析的结果转换为理论图域。因此,它在传播距离和传播速度很重要的应用中很有用。

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