Wiki lends itself to data analysis. Paragraph level atomicity, and Fork History enable us to graph relationships between authors, and explore how information travels across the federation.
In addition dynamic concepts such as neighbourhood, and rosters allow us to define Fluid Groups in wiki which bubble and change as we explore and write.
These dynamic concepts do not map easily onto immutable data structures such as IPFS (in it's current state of implementation), however we can look to provide a graph database as a loosely coupled service to the federation.
As we add a permanent archive to wiki, and explore in more detail the Wiki Publishing Process, we can look to explore ways in which we make such data public - see Privacy in Wiki.
# See also - Graph database - Wiki Page Package - Paragraph Level Atomicity - Loose Coupling of IPFS - Permanent Archive