Change point detection in temporal networks based on graph snapshot similarity measures

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED
Xianbin Huang , Liming Chen , Wangyong Chen , Yao Hu
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引用次数: 0

Abstract

This paper addresses the challenge of change point detection in temporal networks, a critical task across various domains, including life sciences and socioeconomic activities. Continuous analysis and problem-solving within dynamic networks are essential in these fields. While much attention has been given to binary cases, this study extends the scope to include change point detection in weighted networks, an important dimension of edge analysis in dynamic networks. We introduce a novel distance metric called the Interval Sum Absolute Difference Distance (ISADD) to measure the distance between two graph snapshots. Additionally, we apply a Gaussian radial basis function to transform this distance into a similarity score between graph snapshots. This similarity score function effectively identifies individual change points. Furthermore, we employ a bisection detection algorithm to extend the method to detect multiple change points. Experimental results on both simulated and real-world data demonstrate the efficacy of the proposed framework.
基于图快照相似性度量的时态网络变化点检测
本文探讨了时间网络中变化点检测的挑战,这是一项横跨生命科学和社会经济活动等多个领域的关键任务。在动态网络中进行连续分析和解决问题对这些领域至关重要。虽然二进制情况受到了广泛关注,但本研究将范围扩展到了加权网络中的变化点检测,这是动态网络中边缘分析的一个重要维度。我们引入了一种名为 "区间绝对差分距离(ISADD)"的新型距离度量来测量两个图快照之间的距离。此外,我们还应用高斯径向基函数将这一距离转化为图形快照之间的相似性得分。该相似度得分函数可有效识别单个变化点。此外,我们还采用了分段检测算法来扩展该方法,以检测多个变化点。在模拟数据和真实世界数据上的实验结果证明了所提框架的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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