IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/7354535.html
   My bibliography  Save this article

A New Identify Disruptive Technologies Algorithm Based on Technology Develop Network

Author

Listed:
  • Ran Li
  • Wangke Yu
  • Qianliang Huang
  • Qin Chen
  • Gianpaolo Di Bona

Abstract

The identification of disruptive technologies is intended to focus on training and incubation in advance and is an important means to accelerate the upgrading of industrial structure and the transformation of developmental mode and seize the commanding heights of future development. Based on summarizing the existing major identification methods of disruptive technologies, this paper concludes the rule that “disruptive technologies are always at the root node of a certain classification in the deeply classified technology development network†. It also proposes a new algorithm to use term frequency-inverse document frequency technology and a patented Subject-Action-Object structure to extract technical features, develop networks based on similarity matrix generation technology, and identify subversive technologies based on the depth classification model. Using patent data, it is found that the technology development network generated by the algorithm proposed in this paper can effectively show the trajectory of technology development by fitting the patent citation relationship. Through this algorithm, we have successfully identified technologies that have had disruptive effects in the field and verified the effectiveness of this algorithm.

Suggested Citation

  • Ran Li & Wangke Yu & Qianliang Huang & Qin Chen & Gianpaolo Di Bona, 2022. "A New Identify Disruptive Technologies Algorithm Based on Technology Develop Network," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, December.
  • Handle: RePEc:hin:jnlmpe:7354535
    DOI: 10.1155/2022/7354535
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/7354535.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/7354535.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/7354535?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:7354535. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.