Abstract
In this paper, a central technology is defined as a key technology that is connected to most other technologies and that significantly affects them. Accordingly, we can build an R&D policy effectively if we can forecast central technologies. We propose a central technology forecasting model that uses social network analysis (SNA). A social network is a social structure of diverse items as well as of human beings. In this study, we set each technology as a node in an SNA graph and analyze the linkages between them. Thus, we forecast central technologies from SNA results. To verify the performance of our model, we conducted a case study using patent data related to nanotechnology.
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Jun, S. (2012). Central Technology Forecasting Using Social Network Analysis. In: Kim, Th., Ramos, C., Kim, Hk., Kiumi, A., Mohammed, S., Ślęzak, D. (eds) Computer Applications for Software Engineering, Disaster Recovery, and Business Continuity. Communications in Computer and Information Science, vol 340. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35267-6_1
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DOI: https://doi.org/10.1007/978-3-642-35267-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35266-9
Online ISBN: 978-3-642-35267-6
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