In the era of big data, complex network theory has been applied to the field of internet information mining and information research. This study chose the keywords from query term log data of the Korea NDSL (National Digital Science library), and analyzed the complexity properties of keyword network. The result showed that the keyword network had the character of free-scale complex network, and that the distribution of link degree accords power law distribution. Meanwhile, we proved that the key word network has growth and self-organization attributions. In digital library, there are some other big datasets which are similar with the real information search query data, so we can utilize the theory to other keyword network research directly.
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