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We introduce a new method, the knowledge quantification index (KQI), to measure scientific knowledge production by analyzing citation network structures. KQI offers a more robust and interpretable way to identify influential research and scientists.

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Area of Science:

  • Bibliometrics
  • Information Science
  • Network Science

Background:

  • Scientific literature has grown exponentially, making it challenging to quantify knowledge influence.
  • Existing metrics struggle to capture the abstract nature of knowledge within scientific productivity.
  • There is a need for theoretical frameworks to evaluate and excavate knowledge from literature.

Purpose of the Study:

  • To introduce a novel measure, the knowledge quantification index (KQI), for quantifying scientific knowledge.
  • To leverage information structurization and citation network hierarchy for knowledge measurement.
  • To address the limitations of traditional metrics in identifying influential scientific contributions.

Main Methods:

  • Developed the knowledge quantification index (KQI) based on information entropy and hierarchical structure in citation networks.
  • Analyzed a dataset of 214 million scientific articles published between 1800 and 2021.
  • Utilized structural properties of the citation network rather than semantic content for analysis.

Main Results:

  • KQI successfully identifies influential scientific classics and laureates overlooked by traditional metrics.
  • The index demonstrates additivity and interconnectivity, integrating multiple impact metrics.
  • KQI provides interpretability and resistance to manipulation, offering a robust measure of knowledge production.

Conclusions:

  • The knowledge quantification index (KQI) offers a novel, structure-based approach to measuring scientific knowledge.
  • KQI overcomes limitations of semantic-based and traditional metrics by utilizing network structure and entropy.
  • This method provides a more accurate and comprehensive evaluation of scientific influence and knowledge excavation.