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The evolution of knowledge within and across fields in modern physics.

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This study introduces a quantitative framework to map knowledge flow between scientific disciplines using citation patterns. It reveals diverse temporal dynamics in knowledge exchange within and across fields like modern physics.

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Area of Science:

  • * Scientific knowledge creation and interdisciplinary innovation.
  • * Focus on modern physics and its subfields.

Background:

  • * Knowledge exchange across disciplines is crucial for innovation and new field emergence.
  • * Understanding these dynamics requires quantitative analysis of scientific production and citation patterns.

Purpose of the Study:

  • * To develop a quantitative framework for extracting and visualizing dependencies among scientific disciplines.
  • * To create a time-varying network representing knowledge flow between fields over time.
  • * To analyze the temporal evolution of knowledge exchange patterns in modern physics.

Main Methods:

  • * Development of a quantitative framework to identify significant dependencies between scientific disciplines.
  • * Construction of a time-varying network where nodes represent fields and weighted links signify knowledge flow.
  • * Analysis of a comprehensive dataset of scientific production and citation patterns in modern physics over 30 years.

Main Results:

  • * Identified diverse temporal behaviors in knowledge flow within individual physics fields, with varying degrees of self-reference.
  • * Revealed dynamic knowledge exchange patterns across fields, including continuous absorption, mutual influence, and evolving relationships (e.g., from absorption to mutual influence).
  • * Mapped how ideas from specific fields and time periods influence later discoveries within the same or different fields.

Conclusions:

  • * The developed framework effectively quantifies and visualizes interdisciplinary knowledge flow.
  • * Scientific fields exhibit distinct and evolving patterns of knowledge exchange over time.
  • * Understanding these dynamics provides insights into scientific innovation and the emergence of new research areas.