NYC STEW-MAP Staten Island organizations' website hyperlink webscrape

Description

The data represent web-scraping of hyperlinks from a selection of environmental stewardship organizations that were identified in the 2017 NYC Stewardship Mapping and Assessment Project (STEW-MAP) (USDA 2017). There are two data sets: 1) the original scrape containing all hyperlinks within the websites and associated attribute values (see "README" file); 2) a cleaned and reduced dataset formatted for network analysis. For dataset 1: Organizations were selected from from the 2017 NYC Stewardship Mapping and Assessment Project (STEW-MAP) (USDA 2017), a publicly available, spatial data set about environmental stewardship organizations working in New York City, USA (N = 719). To create a smaller and more manageable sample to analyze, all organizations that intersected (i.e., worked entirely within or overlapped) the NYC borough of Staten Island were selected for a geographically bounded sample. Only organizations with working websites and that the web scraper could access were retained for the study (n = 78). The websites were scraped between 09 and 17 June 2020 to a maximum search depth of ten using the snaWeb package (version 1.0.1, Stockton 2020) in the R computational language environment (R Core Team 2020). For dataset 2: The complete scrape results were cleaned, reduced, and formatted as a standard edge-array (node1, node2, edge attribute) for network analysis. See "READ ME" file for further details. References: R Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. Version 4.0.3. Stockton, T. (2020). snaWeb Package: An R package for finding and building social networks for a website, version 1.0.1. USDA Forest Service. (2017). Stewardship Mapping and Assessment Project (STEW-MAP). New York City Data Set. Available online at https://www.nrs.fs.fed.us/STEW-MAP/data/. This dataset is associated with the following publication: Sayles, J., R. Furey, and M. Ten Brink. How deep to dig: effects of web-scraping search depth on hyperlink network analysis of environmental stewardship organizations. Applied Network Science. Springer Nature, New York, NY, 7: 36, (2022).

Resources

Name Format Description Link
47 NYC%20Staten%20Island%20STEW-MAP%20hyperlink%20webscrape_README.txt https://pasteur.epa.gov/uploads/10.23719/1522542/NYC%20Staten%20Island%20STEW-MAP%20hyperlink%20webscrape_README.txt
53 NYC%20Staten%20Island%20STEW_MAP%20hyperlink%20webscrape_all.csv https://pasteur.epa.gov/uploads/10.23719/1522542/NYC%20Staten%20Island%20STEW_MAP%20hyperlink%20webscrape_all.csv
47 NYC%20Staten%20Island%20STEW_MAP%20hyperlnk%20webscrape%20reduced%20network%20dataset_Metadata.txt https://pasteur.epa.gov/uploads/10.23719/1522542/NYC%20Staten%20Island%20STEW_MAP%20hyperlnk%20webscrape%20reduced%20network%20dataset_Metadata.txt
8 NYC%20Staten%20Island%20STEW_MAP%20hyperlink%20webscrape%20reduced%20network%20dataset_revised.csv https://pasteur.epa.gov/uploads/10.23719/1522542/NYC%20Staten%20Island%20STEW_MAP%20hyperlink%20webscrape%20reduced%20network%20dataset_revised.csv

Tags

  • hyperlink-networks
  • environmental-governance
  • web-scraping
  • social-network-analysis
  • decision-support-tools
  • environmental-stewardship
  • sna

Topics

Categories