Replication Data and Bibliometric Corpus: Navigating the Digital Public Sphere of Educational Policy: A Bibliometric Analysis and Triadic Research Framework

# Replication Data and Bibliometric Corpus: Navigating the Digital Public Sphere of Educational Policy [](https://doi.org/10.5281/zenodo.placeholder)[](https://creativecommons.org/licenses/by/4.0/) ## Primary Authors & Contributors1. **Muhammad Andrizal Siregar** (Corresponding Author) *Doctoral Program in Communication Studies, Faculty of Social and Political Sciences, Universitas Sumatera Utara, Medan, Indonesia* ORCID: [0009-0003-5141-0181](https://orcid.org/0009-0003-5141-0181) | Email: `[e-mail]` ## Dataset Overview & AbstractThis repository hosts the curated bibliometric dataset, keyword harmonization thesaurus, co-occurrence network metrics, and reproduction protocols supporting the research paper: **"Navigating the Digital Public Sphere of Educational Policy: A Bibliometric Analysis and Triadic Research Framework"**. The dataset consists of **364 peer-reviewed Scopus-indexed documents** published between **2016 and 2026** exploring the intersection of digital communication platforms, educational policy reforms, and computational/qualitative discourse methodologies. It serves as empirical evidence underpinning the proposed *Triadic Research Framework* that synthesizes deep learning sentiment analysis (IndoBERT), communication network analysis (SNA), and critical discourse analysis (CDA). --- ## Repository File Structure & Inventory | File Name | Format | Size | Description || :--- | :---: | :---: | :--- || `01_Scopus_Corpus_364_Educational_Policy_Public_Sphere.csv` | CSV (UTF-8) | ~3.68 MB | Primary bibliographic corpus of 364 Scopus records containing 45 bibliographic metadata fields (authors, affiliations, abstracts, citations, keywords, references, DOIs). || `02_VOSviewer_Harmonized_Thesaurus.txt` | Tab-delimited TXT | ~5.5 KB | Domain-specific thesaurus file for keyword cleaning in VOSviewer (merging synonyms, plurals, removing non-informative stop-words). || `03_VOSviewer_Cluster_and_Overlay_Metrics.csv` | CSV | ~8.5 KB | Extracted network metrics across the 17 thematic clusters, including occurrence weights, total link strength, average publication year, and average citations. || `03b_VOSviewer_Network_Map_Coordinates.txt` | Tab-delimited TXT | ~10.4 KB | Full coordinate mapping file ($x, y$ coordinates, cluster assignments, link weights) ready for direct loading into VOSviewer. || `04_VOSviewer_Network_Map_HighRes.png` | PNG (High-Res) | ~1.96 MB | High-resolution publication-quality network visualization depicting the 17 thematic clusters and temporal overlay. || `05_Scopus_Search_Query_and_Extraction_Protocol.txt` | TXT | ~2.5 KB | Complete documentation of Boolean search syntax, inclusion/exclusion criteria, and PRISMA extraction parameters. | --- ## Data Dictionary (Key Variables in Corpus CSV) The primary dataset (`01_Scopus_Corpus_364_Educational_Policy_Public_Sphere.csv`) complies with standard Scopus export specifications:- `Authors`: Standardized author citation string.- `Author full names`: Complete legal names and Scopus Author IDs.- `Title`: Full original title of the publication.- `Year`: Publication year (range: 2016 to 2026).- `Source title`: Scholarly journal or conference proceedings name.- `Volume`, `Issue`, `Page start`, `Page end`: Pagination and bibliographic coordinates.- `Cited by`: Total Scopus citation count at time of extraction (October 2026).- `DOI`: Official Digital Object Identifier of the indexed document.- `Link`: Direct Scopus persistent document URL.- `Affiliations`: Institutional and departmental affiliations of all authors.- `Abstract`: Full text abstract as indexed by Scopus.- `Author Keywords`: Keywords supplied by original authors.- `Index Keywords`: Normalized controlled vocabulary terms assigned by Scopus/Ei Compendex.- `Document Type`: Document category (`Article` = 324, `Conference paper` = 40).- `EID`: Unique Scopus Electronic Identifier. --- ## Step-by-Step Replication Protocol in VOSviewer To reproduce the bibliometric network visualizations and cluster formations:1. Download and launch **VOSviewer** (version 1.6.20 or newer; available at [vosviewer.com](https://www.vosviewer.com)).2. Click **Create** > Choose **Create a map based on bibliographic data** > Click **Next**.3. Select **Read data from bibliographic database files** > Select **Scopus**.4. Browse and select `01_Scopus_Corpus_364_Educational_Policy_Public_Sphere.csv`.5. Under Type of Analysis, select **Co-occurrence**, Unit of Analysis: **All keywords** (or Author keywords).6. Counting method: **Fractional counting** (or Full counting).7. In the Thesaurus file step, choose `02_VOSviewer_Harmonized_Thesaurus.txt`.8. Set the minimum number of occurrences to **2** (yielding 739 valid keyword nodes).9. Alternatively, to view the exact layout directly: Click **Open** in VOSviewer and choose `03b_VOSviewer_Network_Map_Coordinates.txt`. --- ## License & Terms of UseThis dataset is distributed under the **Creative Commons Attribution 4.0 International (CC BY 4.0)** license. You are free to:- **Share**: Copy and redistribute the material in any medium or format.- **Adapt**: Remix, transform, and build upon the material for any purpose, even commercially.Under the following terms:- **Attribution**: You must give appropriate credit, provide a link to the license, and indicate if changes were made. --- ## How to Cite This Dataset ### APA 7th Edition> Siregar, M. A., Humaizi, Zulkarnain, I., & Lubis, S. (2026). *Replication Data and Bibliometric Corpus: Navigating the Digital Public Sphere of Educational Policy* [Data set]. Zenodo. https://doi.org/10.5281/zenodo.[YOUR_ZENODO_ID] ### BibTeX```bibtex@dataset{siregar_2026_bibliometric_dataset, author = {Siregar, Muhammad Andrizal and Humaizi and Zulkarnain, Iskandar and Lubis, Suwardi}, title = {{Replication Data and Bibliometric Corpus: Navigating the Digital Public Sphere of Educational Policy}}, year = {2026}, publisher = {Zenodo}, version = {1.0.0}, doi = {10.5281/zenodo.[YOUR_ZENODO_ID]}, url = {https://doi.org/10.5281/zenodo.[YOUR_ZENODO_ID]}}```