Abstract: This paper studies the community structure of international trade products and explores the evolutionary rules of product trade from a perspective of complex networks. First, the international trade network of products and the international total trade network are constructed by using the product trade data every five years from 1995 to 2015. Then the product distance is measured with network similarity measure, and the product network is constructed by combining the minimum spanning tree and threshold setting. Finally, the weighted extremum optimization algorithm is used to classify the products and study the evolution rules of the product cluster. The research concludes that although the total international trade is the sum of products, there are significant differences in the product trade relations between countries. As time goes by, international trade is becoming closer, and the focus of product trade between countries keeps changing, from heavy industry to agriculture, then light industry, finally agriculture. The community division of the 5-year product network shows consistent results except for 1995. But within the community, the tightness of the product cluster has been increasing