Published March 1, 2025 | Version v1

Network dynamics

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Description

Dataset Description

This dataset contains distance matrices calculated using Mathematica as part of an analysis on the evolution of conceptual relationships in scientific literature. The matrices were derived from a co-occurrence network based on a corpus of 10,370 research articles (2010–2023) related to International Security, obtained from JSTOR and Web of Science (WOS) which can be found here.

Contents of the Dataset

  • Distance Matrices: Representing conceptual distances for specific seed concepts over time period 2010-2023.

Format and Accessibility

  • The dataset is provided as .m files to use in Mathematica.
  • Code used to generate and process these matrices is available in the accompanying Mathematica notebook.
  • The initial dataset that contains information about concepts frequencies in 10370 documents can be found in this Zenodo repository.
  • The dataset can be used for scientometric research, topic modeling, and network analysis.

Citation and Usage

Researchers are encouraged to cite this dataset when using it for scientific publications, bibliometric studies, or computational experiments. For more details on data preprocessing, see the linked GitHub repository.

Files

Files (1.1 MB)

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md5:956655211356232abd692a6f2be3c3d3
152.2 kB Download
md5:9a4c94c465a721175b4d7b8760cc4171
152.4 kB Download
md5:27430ad20fa2817ab77e3e45958754ea
167.6 kB Download
md5:37e9548923fbcf15d8b309aa39cbbb7d
134.0 kB Download
md5:f20d0cda0bafdc53c57c4f2adc085147
167.6 kB Download
md5:3b401afa9a5dce55e2ae0a72cfa75814
183.6 kB Download
md5:237537a50355fb584a739e50639913ec
167.6 kB Download

Additional details

Dates

Updated
2025-02-03

Software

Repository URL
https://github.com/ArtemEsper/TopicGeometry
Programming language
Mathematica
Development Status
Active