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Research status and collaboration analysis based on big data mining: an empirical study of Alzheimer's disease

机译：基于大数据挖掘的研究现状及协作分析：阿尔茨海默病的实证研究

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摘要

This paper employs text mining techniques that aimed to facilitate technology information. First, this paper used patent data to monitor technological development trends systematically to show the technology research status from perspectives of country, institution, technology fields, and subjects. Secondly, this study explores the cooperation network institutions and inventors by applying the data mining approaches, social network analysis,. Additionally, the sequence analysis is applied to reveal a more comprehensive and objective appearance of cooperative relationships, partners, and centrality. The empirical findings reveal four significant observations. (1) The R&D centres have been mainly influenced by the United States and other developed countries. (2) All technological fields in both B IPC and Derwent manual codes are concentrated around pharmaceutical activities. (3) 1-6c alkyl, pharmaceutical composition, and central nervous system et al. are traditional research and core subjects. 2-6c alkenyl, amino acid sequence, and 1-3c alkoxy et al. are the hot subjects. (4) The influential institutions are HOFFMANN LA ROCHE & CO AG F (degree centrality is 0.0872), ASTRAZENECA AB, MERCK SHARP & DOHME CORP, PFIZER INC and UNIV CALIFORNIA, INCYTE GENOMICS. (5) The influential inventors are WANG Y, BACHER G, and PETERS D.
机译：本文采用了旨在促进技术信息的文本挖掘技术。首先，本文使用专利数据来系统地监测技术发展趋势，以显示国家，机构，技术领域和科目的视角来展示技术研究状况。其次，本研究通过应用数据挖掘方法，社会网络分析，探讨了合作网络机构和发明人。此外，序列分析适用于揭示合作关系，合作伙伴和中心地位的更全面和客观的外观。实证发现揭示了四种重要观察。 （1）研发中心主要受美国和其他发达国家的影响。 （2）BCC和DERWENT手动代码的所有技术领域都集中在药物活动周围。 （3）1-6C烷基，药物组合物和中枢神经系统等。是传统的研究和核心科目。 2-6C链烯基，氨基酸序列和1-3C烷氧基等。是热门的科目。 （4）有影响力的机构是Hoffmann La Roche＆Co AG F（学位中心为0.0872），Astrazeneca AB，Merck Sharp＆Dohme Corp，Pfizer Inc和Univ California，Confyte Genomics。 （5）有影响力的发明人是王Y，Bacher G和Peters D.

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  • 来源
    《Technology analysis & strategic management》 |2021年第4期|379-395|共17页
  • 作者

    Li Rongrong; Wang Xuefeng; Liu Yuqin; Zhang Shuo; Hanif Omer;

  • 作者单位

    China Univ Petr East China Sch Econ & Management Qingdao Peoples R China|Beijing Inst Technol Sch Management & Econ Beijing Peoples R China;

    Beijing Inst Technol Sch Management & Econ Beijing Peoples R China;

    Beijing Inst Graph Commun Sch Journalism & Publicat Beijing Peoples R China;

    Beijing Inst Technol Sch Management & Econ Beijing Peoples R China;

    Beijing Inst Technol Sch Management & Econ Beijing Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Research status; data mining; Alzheimer's disease; technology trend;

    机译：研究状况;数据挖掘;阿尔茨海默病;技术趋势;

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