Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Mapping topics and topic bursts in PNAS.

Ketan K Mane1, Katy Börner

  • 1School of Library and Information Science, Indiana University, 10th Street and Jordan Avenue, Bloomington, IN 47405, USA.

Proceedings of the National Academy of Sciences of the United States of America
|February 24, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Vasculature segmentation in 3D hierarchical phase-contrast tomography images of human kidneys.

Nature communications·2026
Same author

Optimizing Performance and Satisfaction in Matching and Movement Tasks in Virtual Reality with Interventions Using the Data Visualization Literacy Framework.

Frontiers in virtual reality·2026
Same author

The Common Fund Data Ecosystem (CFDE).

bioRxiv : the preprint server for biology·2026
Same author

Cell Type Populations for 3D Anatomical Structures of the Human Reference Atlas.

Scientific data·2026
Same author

SenNet Portal: Build, Optimization and Usage.

bioRxiv : the preprint server for biology·2026
Same author

Preparing the next generation of Complex Networks and Systems scientists: Evaluation results for the Complex Networks and Systems NSF research training program at Indiana University.

PloS one·2026

Tracking scientific research trends is vital for resource allocation. This study uses burst detection and co-word analysis to map research topics and evolution in PNAS publications from 1982-2001.

Area of Science:

  • Bibliometrics and scientometrics
  • Scientific research landscape analysis

Background:

  • Scientific research is dynamic, with evolving fields and increasing publication volume.
  • Maintaining an overview of scientific development is challenging but crucial for strategic decisions.
  • Identifying emerging research frontiers and topic shifts informs resource allocation.

Purpose of the Study:

  • To demonstrate a method for identifying major research topics and trends.
  • To map the evolution of scientific fields using publication data.
  • To support informed decision-making in research funding and laboratory focus.

Main Methods:

  • Application of Kleinberg's burst detection algorithm.
  • Co-word occurrence analysis to identify topic relationships.

Related Experiment Videos

  • Graph layout techniques for visualizing research landscapes.
  • Analysis of the complete set of papers published in PNAS (1982-2001).

    • Main Results:

    • Generated maps illustrating major research topics and trends within PNAS.
    • Visualized the dynamic evolution of scientific areas over a 20-year period.
    • Expert evaluation confirmed the maps' ability to reconstruct research area evolution.

    Conclusions:

    • The combined methods effectively identify and map research topics and trends.
    • The approach provides valuable insights into the structure and dynamics of scientific fields.
    • This methodology aids in understanding scientific evolution and informing strategic research planning.