14. When Peer Networks Make Sense
Peer connections are most valuable when:
- Two sites share a substantive vocabulary overlap — the same terms are used by both editorial teams.
- You want readers to discover posts on peer sites not yet indexed by search engines, or that search engines systematically underweight.
- You want to surface a collaborating site’s content without manual curation — any post they publish with a matching term appears automatically.
Peer connections work best when both sides maintain a careful, intentional taxonomy. Loose or inconsistent tagging produces low-relevance results; precise taxonomy compounds in value across sites the same way it does within a single site.
15. Term Equivalence and External Identifiers
When you link a local term to a peer term by its slug, you are asserting equivalence. That assertion is fragile: a slug like python means the programming language on a technology site and the reptile on a wildlife site. Slug similarity is not semantic equivalence.
External identifiers provide a stronger foundation. Many concepts are precisely defined in authoritative third-party vocabularies:
- Wikidata (e.g. Q28865 for Python the programming language)
- GeoNames (e.g. 2968815 for Paris, France)
- Library of Congress Subject Headings (e.g.
sh85107984for Python programming) - Domain-specific identifiers — MeSH, legal thesauri, scientific classifications
When Site A maps its “Python” tag to Wikidata Q28865, and Site B maps its “Python programming language” tag to the same identifier, the equivalence is grounded regardless of how each site names the term locally. The value compounds across a network: if three sites all anchor equivalent terms to the same QID, any site can match across all three without maintaining manual per-pair mappings.
16. Max FOAF Depth
foaf_depth="0" (the default) queries only explicitly configured peers. Increasing to 1 or 2 discovers posts from peers-of-peers automatically — useful for a wider community but only as reliable as your direct peers’ own peer configurations.
Use depth 1 for a small group of editorially disciplined sites. Stay at 0 for a loosely curated network and map peers explicitly instead.