Abstract: A slotting optimization method of associated articles based on a complex network, mainly comprising the following steps: 1) constructing a weighted article association network using warehoused articles as network nodes, and joint retrieval frequencies of pairs of articles as edges; 2) performing sorting on the importance of an article node and determining a community initial node; 3) determining a community structure of the article association network; 4) determining whether a community peripheral node is an overlapping node according to the strength of an association relationship of said node with another community; and 5) determining a best slot for each article. The present method applies the complex network theory to the problem of slot allocation for associated article retrieval, overall distance and time for retrieving articles is reduced, and article retrieval efficiency is improved. (FIG.