CiteSpace-based Visualization and Analysis of Knowledge Graph in International Supply Chain Domain

Abstract

Abstract Along with globalization and technological advances, the complexity and dynamics of international supply chains are increasing. Using CiteSpace to visualize and analyze the knowledge map of the global supply chain helps to deeply understand the industry’s development trends and essential elements. The knowledge map of the international supply chain field is visualized and analyzed using CiteSpace software in this paper, which uncovers the key components and development trends in the field. The study involves collecting and analyzing relevant literature from 2009 to 2021, and applying techniques such as word frequency analysis, co-occurrence network construction, and spectral clustering algorithms to map the knowledge map. Supply chain management, supply chain resilience and risk management are the most popular topics in the supply chain field, in which the word “supply chain management” has a co-occurrence frequency of 485 times, with a centrality of 0.457. Using the spectral clustering algorithm, we identify several key research clusters and find that “supply chain security” has become a recent research topic. Security” has become a hot research topic recently. Research in the field of supply chain is gradually focusing on improving chain flexibility and reducing risks. There is increasing interest in the trend of supply chain futurization and intelligence.