We are suggesting the following measures of events following T115119 's schema, include:
- Δ links to domain (or specific subdomain) over time with a measure (avg. slope? or % growth) of change - The main use case is TWL/GLAM partnerships
- Comparison of change over time, between windows of time (Month to month change via # growth and % growth) - this is particularly important for the business case for TWL in new partnerships -something in the nature of Magnus's Baglama 2 https://tools.wmflabs.org/glamtools/baglama2/
- Comparison of Δ unique domains/subdomains -- The main use case would be to discover new links/sources being used on Wikipedia.
- Attribution of who is adding links, in particular time window - concatenate links by - The main use cases: identify spammers/COI issues, identify GLAM/TWL participants for encouragement support, identify potential recipients of TWL sources, or someone to engage in outreach. Also a good way to identify people to encourage linking best practices (if we could do high frequency adders of ".org" or journal namespaces).
- Identification of "most frequently added/changed" urls overall and within a domain - looks for urls that are controversial, or are under a lot of scrutiny. Use cases: It would also be interesting to see this at a global level, and use for vandalism tools/ratings. It might be worth giving urls a "controversy factor", or researching these behaviours for AI.