Evolution of Service Cross-border E-commerce Network Pattern based on PageRank Algorithm

In recent years, the hot topic of (CRE)cross-border e-commerce has become more and more popular, and with the introduction of relevant national support and preferential policies, many entrepreneurial companies have emerged to enter the CRE industry. Compared with domestic E-commerce and CRE have a wider market and greater profits. In order to achieve trade transformation, all regions are building e-commerce industrial parks with complete facilities and preferential policies to promote the development of local CRE. This paper uses the PageRank algorithm to analyze the evolution of the service CRE network, and provides some reference for the evolution of the network. Through the use of the PageRank algorithm in the e-commerce network, it can be proved that this technology is very effective in the analysis of the pattern evolution, especially in the case of the expansion of network resources. The expansion of network resources will inevitably generate many links, and the generation of these links provides more basis for evaluating the importance of documents. The idea of the PageRank algorithm is that whenever a web page links to this web page, it is equivalent to voting for this web page. The final results of the research show that the inventory backlog of CRE has been on a downward trend since 2016, from 45.10% in 2016 to 5.23% in 2021, which is very important for the circulation of funds and the turnover of inventory goods.