Scholarlink

<p>Finding clusters in a dynamic trade network and identifying anomalies in the trading pattern is a problem of great interest. In this paper, a novel method of clustering dynamic multilayer weighted network relying on a mixture of tensor normal distribution has been proposed. Upon finding the clusters of nodes exhibiting similar trading relationships over the years, atypical trading exchanges have been identified that deviate from the regular pattern. The developed methodology has been applied to a European trade network consisting of 39 countries observed over a decade.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Detecting Anomalies in European Trade Data Using Directed Weighted Multilayer Dynamic Networks

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月22日

查看全文
  • Shuchismita Sarkar,
  • Volodymyr Melnykov

摘要

Finding clusters in a dynamic trade network and identifying anomalies in the trading pattern is a problem of great interest. In this paper, a novel method of clustering dynamic multilayer weighted network relying on a mixture of tensor normal distribution has been proposed. Upon finding the clusters of nodes exhibiting similar trading relationships over the years, atypical trading exchanges have been identified that deviate from the regular pattern. The developed methodology has been applied to a European trade network consisting of 39 countries observed over a decade.