Algorithm Analysis of Trade Gravity Model Based on PageRank Algorithm

In recent years, the development of cross-border e-commerce has become more and more popular, and many domestic entrepreneurs have joined the ranks of cross-border trade, which has driven the development of many overseas markets. For example, the European and American markets have strong development prospects. Chinese products have a certain desire to buy, especially with the increasing international influence of China and the introduction of encouraging policies in many countries, cross-border e-commerce has certain prospects. This paper uses PageRank algorithm to analyze the trade gravity model algorithm, and proposes an improved trade gravity model algorithm. This paper focuses on the research on my country's cross-border e-commerce export trade. The factors affecting my country's cross-border e-commerce are based on the improvement of the trade gravity model algorithm for the further development of my country's cross-border e-commerce. Provide constructive feedback and suggestions through relevant research on my country's cross-border e-commerce trade. The final results of the research show that the A-index in 2021 is 0.459, the HIIT index is 0.287, and the VIIT index is 0.172. The development of cross-border trade between China and overseas is mainly based on the improvement of VIIT, and the level of HIIT is low. Therefore, there is still great potential for HIIT in cross-border trade between China and overseas.