This repository hosts the data and code used for the empirical analysis in Interdiscipline as Language: A Structural Topic Model Approach to Academic Production in Sustainability Science, by Roberto Velazquez-Quiroz, Julien Vanhulst, Alejandro Espinosa-Rada, and Roberto Cantillan (2025).
The .zip file contains all materials supporting the analysis. The file contains:
1.- PAPER CODE – TMRS / Two Mode Relational Simmilarity Estimation followed the procedures described and presented by Lizardo, O. (2024). Two-mode relational similarities. Social Networks, 76, 34–41. https://doi.org/10.1016/j.socnet.2023.06.002
Data Availability: The following code reproduces the TMRS (Two-Mode Relational Similarity) results. The dataset is publicly available on the GitHub repository of the paper and consists of four edgelists, each representing the corpus for a specific period.
2.- PAPER CODE – STM / Structural Topic Model Estimation followed the procedures described and presented by Roberts ME, Stewart BM, Tingley D. stm: An R Package for Structural Topic Models. Journal of Statistical Software. 2019;91:1–40. https://doi:10.18637/jss.v091.i02
Data Availability: The following code reproduces the STM (Structural Topic Model) results. The dataset is publicly available on the GitHub repository of the paper and consists of four tables, each representing the corpus for a specific period.
Note: The data has been edited to ensure anonymity and to comply with the data use requirements of data providers (SciSciNet and OpenAlex).
Powered@NLHPC: This research was developed using the supercomputing infrastructure of the National Laboratory for High Performance Computing NLHPC, Chile (ECM-02).
The National Agency of Research and Development ANID, Chile, has sponsored this research (FONDECYT N°1220560).
Shield:
This work is licensed under a Creative Commons Attribution 4.0 International License.
