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Abstract Knowledge innovation networks formulated by the collaborations between entities (industry department, school, research center and laboratory) evolving over time, varying by regions, is an indicator of inter-regional knowledge innovation linkages. In this work, we proposed a novel synergy analysis approach, taking the structural value of industry-science-research collaborative network as knowledge innovation subsystem parameter. The changing of this parameter indicates the synergy of Inter-Regional Knowledge Innovation System ( IRKIS ), incorporating the network structure evolution and systematic collaboration, also analyzing the IRKIS synergy capability. We collected 18,776 articles from 2009–2020 that are related to Alzheimer’s disease participating in China from Web of Science, and 7,941 patent data from the USTPO database. Then, we extracted knowledge innovation departments based on the dimensions of industry-science-research, constructed inter-regional knowledge innovation network, selected Degree Centrality, Close Centrality and Structure Hole as parameters of industry-science, industry-research, and science-research subsystems to analyze the synergy degree of IRKIS . The results indicated that evolution law of IRKIS could be explained through the perspective of industry-science-research collaborative network. The trend of more international collaborations illustrated by the rapid increasement of inter-regional knowledge innovation network parameter, however, the average synergy level of IRKIS in Alzheimer’s research is still low.
Guo et al. (Tue,) studied this question.