Intermediaries in a technological knowledge network have recently been highlighted as crucial innovation drivers that accelerate
technological knowledge flows. Although the patent network analysis has been frequently used to monitor technological knowledge
structures, it has examined only sources or recipients of the technological knowledge by mainly estimating technological knowledge
inflows or outflows of a network node. This study, therefore, aims to identify technological knowledge intermediaries when
a technology-level knowledge network is composed of several industries. First, types of technological knowledge flows are
deductively classified into four types by highlighting industry affiliations of source technologies and recipient technologies.
Second, a directed technological knowledge network is generated at the technology class level, using patent co-classification
analysis. Third, for each class, mediating scores are measured according to the four types. The empirical analysis illustrates
the Korea’s technological knowledge network between 2000 and 2008. As a result, the four types of mediating scores are compared
between industries, and industry-wise technological knowledge intermediaries are identified. The proposed approach is practical
to explore converging processes in technology development where technology classes act as technological knowledge intermediaries
among diverse industries.