Using Machine Learning to Predict the Evolution of Physics Research

The APS publication data set from 1981 to 2010. The authors analyze the APS publication data set from 1981 to 2010. They build the bibliographic coupling and co-citation networks, use the Louvain method to detect topical clusters (TCs) in each year, measure the similarity of TCs in consecutive years, and visualize the results as alluvial diagrams.

Data and Resources

Cite this as

Wenyuan Liu, Stanisław Saganowski, Przemysław Kazienko, Siew Ann Cheong (2024). Dataset: Using Machine Learning to Predict the Evolution of Physics Research. https://doi.org/10.57702/vf6wgamm

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.3390/e21121152
Author Wenyuan Liu
More Authors
Stanisław Saganowski
Przemysław Kazienko
Siew Ann Cheong
Homepage https://arxiv.org/abs/1709.08667