Steps to create a graph network connected by a search term instead of an author?
Current connections create edges from a list of people.
New type of graph network: create edges from a list of terms: tools or topics
Humans, leaders, and organizers determine the short list of search terms and publish visualizations in report.
Steps to create a graph network connected by a search term instead of an author?
Current connections create edges from a list of people.
New type of graph network: create edges from a list of terms: tools or topics
Humans, leaders, and organizers determine the short list of search terms and publish visualizations in report.
Promote and recruit collection of updated bibtex files (manual)
Request permission to scrape OrcID and Github and data repository and get a list of IDs and repositories
Add code to scrape OrcID
String manipulation to reconcile names to develop consistent ID connection for nodes
Scrape HydroShare (to do other data repositories)
Scrape Github based on input 'Organization Name' requires permission and Admin access or key generated to access the API
Organizer/Coordinator User Inputs = bibtex file, list provided by network members
Natural language processing on abstracts and readme and all metadata fields. (See github.com/hydroshare Discover search engine does this, for example). Output = List of terms
Mapping of keywords corresponding to each term/keyword.
View graph network with color coded nodes and links by tags in the search. MVP = pick 5 keywords, make a graph network view that provides a filter with check box that turns on and off like Github, HydroShare, Journals
Print selection of filter to make a table and report by tags