How huongdm1896/survey_artifact_suscom works
This is a survey-research repository: it collects candidate articles and analyzes categorized article data into visualizations. The primary analysis workflow reads analysis/Data.ods in the notebook and produces figures under analysis/figure/; the separate collection tool queries Google Scholar and saves article metadata to an Excel file. README paths and some described directories do not match the tree, so this map uses only paths present in the tree. The notebook’s internal steps were not sampled, so its processing is shown at notebook level.
Main entry points: gg_scholar_avoid_ip.py Scholar scraper · plot.ipynb Analysis notebook · Data.ods Content analysis · Data_EC_FL.xlsx Collected articles
Components 10
Article collection
- Scholar scraper
collect/gg_scholar_avoid_ip.py
Survey analysis
- Content analysis
analysis/Data.ods - Analysis notebook
analysis/plot.ipynb
Research artifacts
- Collected articles
collect_result/Data_EC_FL.xlsx - Analysis figures
analysis/figure - Zotero export
analysis/Exported_ID_Zotero.csv - Survey comparison
Survey_compare.ods - Energy datasets
collect_result
Other components
- Researcher
- Google Scholar
Connections 6
- Researcher → Scholar scraper: sets search
- Scholar scraper → Google Scholar: fetches results
- Scholar scraper → Collected articles: saves metadata
- Researcher → Analysis notebook: runs analysis
- Content analysis → Analysis notebook: provides data
- Analysis notebook → Analysis figures: generates plots