Finding meaningful sets of co-purchased products allows retailers to manage inventory better and develop market strategies. Analyzing the baskets of products, known as market basket analysis, is typically carried out using association rule mining or community detection approach. This article uses both methods to investigate a transaction dataset collected from a brick-and-mortar grocery store. The findings reveal interesting purchasing patterns of local residents and prompt us to consider dynamic modeling of the product network in the future.

中文翻译：

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杂货产品网络的探索性分析

找到有意义的联合采购产品组合可以让零售商更好地管理库存并制定市场战略。分析产品篮子，称为市场篮子分析，通常使用关联规则挖掘或社区检测方法进行。本文使用这两种方法来调查从实体杂货店收集的交易数据集。研究结果揭示了当地居民有趣的购买模式，并促使我们在未来考虑对产品网络进行动态建模。