The protection of important nodes in Large-scale software network has been the focus of software engineering. Large-scale software network is a kind of complex network, therefore, we can identify influential nodes in large-scale software networks in the view of complex networks. This paper proposes a method for measure the importance of nodes based on the duplicato-degree and the neighbor clustering coefficient. Five networks are introduced to validate the proposed approach. To evaluate the performance of the new method, the top twenty percent of nodes in five networks are removed one by one from the networks according to the importance ranking lists produced by the new method. Then calculate the number of sub networks after splitting the entire network. The result indicate that the new method can be used to measure the importance of nodes and the effect is significant.
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