Abstract:

To solve the quantitative network modeling of technology network and distinguish the mode of technology breakthrough, a data-driven network modeling approach is proposed. The similarity between technologies is computed quantitatively with vector space model and the keyword vector of technology document, which aims to model the sequential network. The basic structure and motif characteristic of technology breakthrough network are discussed. The significance profile is calculated to emulate the network deeply. Experimental results of technology review data confirm the effectiveness of the proposed approach and show that there is a strong cooperation between innovational technologies and the network is similar with biological network and signal-transduction network, which all belong to the network superfamily.