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Social Network Analysis to Accelerate for R&D of New Material Development

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Knowledge Management in Organisations (KMO 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1825))

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Abstract

A feasibility study on the technology and market trends of organoids was conducted by analyzing information using published patent information and network analysis. It was found that the organoid market exhibits a scale-free network structure among complex networks, and that Japanese research is isolated and domestic-only. On the other hand, the largest research clusters were found to have research institutions with structural holes, indicating that collaboration with foreign research institutions with such holes is desirable to accelerate Japanese research. This suggests the effectiveness of an analytical method that combines patent analysis and network analysis for practitioners.

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Authors and Affiliations

  1. Department of Industrial Technology and Innovation, Tokyo University of Agriculture and Technology, Fuchu, Japan

    Hideki Hayashida

  2. Department of Comprehensive Engineering, Kindai University Technical College, Higashiosaka, Japan

    Hiroki Funashima

Authors
  1. Hideki Hayashida
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  2. Hiroki Funashima
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Correspondence to Hideki Hayashida .

Editor information

Editors and Affiliations

  1. Staffordshire University, Stoke-on-Trent, UK

    Lorna Uden

  2. National University of Kaohsiung, Kaohsiung, Taiwan

    I-Hsien Ting

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Hayashida, H., Funashima, H. (2023). Social Network Analysis to Accelerate for R&D of New Material Development. In: Uden, L., Ting, IH. (eds) Knowledge Management in Organisations. KMO 2023. Communications in Computer and Information Science, vol 1825. Springer, Cham. https://doi.org/10.1007/978-3-031-34045-1_14

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  • DOI: https://doi.org/10.1007/978-3-031-34045-1_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34044-4

  • Online ISBN: 978-3-031-34045-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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