Time Series Network Analysis for Profit Dynamics in Pre-owned Luxury Goods Market Based on Network Motifs

This study introduces a pioneering Time Series-based Transaction Pattern Analysis model for scrutinizing profit dynamics within the pre-owned luxury goods domain via network motifs. By employing a model that integrates network motif analysis with time series, this study aims to elucidate the transactional patterns that govern market efficiency and profitability. Utilizing data from a Japanese enterprise specializing in pre-owned luxury goods, this investigation highlights the critical role of specific transaction patterns, identified as network motifs, in enhancing our understanding of market dynamics. The findings demonstrate the model's capability in revealing insights into the temporal and structural aspects of transactions, thus offering a comprehensive tool for optimizing sales strategies and market operations. Beyond contributing to the theoretical understanding of network motifs in economic contexts, this study provides actionable insights for market practitioners.