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Analysis of Researchers Using Network Centralities of Co-authorship from the Academic Literature Database

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 999))

Abstract

Finding and encouraging young promising researchers is crucial to develop science and technology and to promote innovation. In this paper, I am to clarify requirements for researchers to conduct organizational Research and Development (R&D) and propose a quantitative method to evaluate researchers that satisfies the requirements to evaluate researchers in organizational R&D fields. A questionnaire survey was conducted to R&D institutions in life science and information technology fields to clarify the required competencies and careers of researchers for organizational R&D projects. The result of the survey suggests that the institution members require the researchers’ competencies on not only “expertise of the research fields” but also “cooperativeness with others in the projects”. Based on the result, I focus on network centralities of co-author networks and propose a new quantitative method to evaluate researchers by measuring the network centralities from the academic literature database.

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References

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Correspondence to Masanori Fujita .

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Fujita, M. (2019). Analysis of Researchers Using Network Centralities of Co-authorship from the Academic Literature Database. In: Koch, F., Yoshikawa, A., Wang, S., Terano, T. (eds) Evolutionary Computing and Artificial Intelligence. GEAR 2018. Communications in Computer and Information Science, vol 999. Springer, Singapore. https://doi.org/10.1007/978-981-13-6936-0_7

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  • DOI: https://doi.org/10.1007/978-981-13-6936-0_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6935-3

  • Online ISBN: 978-981-13-6936-0

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