Abstract
We study the patent citation network by means of structural analysis. Specifically, we use the k-shell decomposition method to reveal hidden structural properties. We aim to identify the characteristics of the most important nodes in the network, as well as extract any existing patterns in the connectedness of these nodes. We examine properties of the nodes such as the geographic origin and the thematic area they belong. Results yield unexpected information on which are the most important nodes in the network, and how these nodes are geographically and thematically distributed.
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