This study examines the centrality measurement implications of graph analytics in the supply chain domain. To identify a graph's most important nodes, centrality measurement is essential in graph analytics. In a networked economy, centrality aids in pinpointing the crucial variables that affect suppliers' or businesses' management. Based on the three different supply chain models currently in use (Traditional Supply Chain, Modern Supply Chain, and e-Supply Chain), four major concerns that affect the supply chain were addressed. This publication included several references to centrality measurements, citing earlier research that had effectively applied supply chain models. The influence of centrality measurements significantly enhances supplier-customer relationships, cost effectiveness, risk management, and dynamic, quickly changing, time-varying market conditions.