Topical map — what's on PYC Hub and how it connects

PYC Hub is organised as a topical map, not a flat blog. Three things matter for how content sits next to each other:

1. Entity hubs. Each knowledge-base cluster is an entity — a topic with a hub page that lists the articles inside it. The hubs are the load-bearing structure; spokes link up to their hub, and the hub links back down.
2. Cross-section bridges. The glossary covers the maths underneath modern SEO. Knowledge-base articles in the Advanced Solutions and Troubleshooting clusters reference those methods directly. Each glossary entry lists which knowledge-base articles apply it; each knowledge-base article lists which methods it leans on.
3. Predicate links, not generic anchors. Anchor text names the entity it points at — never “click here”, never “this article”. This is what lets search engines (and you) follow the entity graph.

The six knowledge-base clusters

• Getting Started — Foundations. Everything else assumes the ground covered here.
• General — Day-to-day practice: on-page, backlinks, content, local, the model of search itself.
• Advanced Solutions — Higher-leverage work for teams already shipping the fundamentals. International SEO, big-data analytics, deep keyword discovery.
• Integrations — Where SEO meets schema, paid search, video, content marketing, backlink intelligence.
• Troubleshooting — Diagnostic playbooks. Duplicate content, indexing failures, mobile breakage.
• Plugins — WordPress-specific tooling. Custom plugin development, security hardening, plugin-introduced bugs.

How the Glossary slots in

The Glossary catalogues twenty statistical and machine-learning methods that show up in modern SEO analysis — Bayesian inference, principal component analysis, ANOVA, k-nearest neighbours, ARIMA, regression, the optimisation family (AdaGrad, Adam, coordinate descent), and a few less obvious ones (Boltzmann machines, control-vector parameterisation, Dempster-Shafer theory).

Each glossary entry carries an Applied in the Knowledge Base block at the bottom, pointing to the knowledge-base articles that lean on it. The two clusters that bridge the most into the glossary:

• Advanced Solutions — the-power-of-big-data-in-seo and advanced-keyword-research-techniques together reference most of the glossary.
• Troubleshooting — resolving-indexing-and-crawling-issues, addressing-duplicate-content-issues use ANOVA, regression, Kolmogorov complexity, Dempster-Shafer for diagnostic reasoning.

The reverse map is in Methods referenced in this article, rendered on the relevant knowledge-base spokes.

The Blog and Local Indices clusters

• Blog — Ten posts on tactical topics: canonical tags, page speed, structured data, sitemaps, internal linking, social signals. The blog is the tactical layer; the knowledge base is the strategy layer.
• Local Indices — Recurring, data-driven league tables measuring how local businesses perform online. The indices sit downstream of the rest: the strategy comes from the knowledge base, the methods come from the glossary, the index shows both applied at scale to a whole local sector.

Predicate summary

From	Predicate	To
Article	belongs to	Cluster hub
Cluster hub	contains	Sibling articles
Glossary entry	is applied in	KB Advanced Solutions / Troubleshooting articles
KB article	references method	Glossary entry
Case study	demonstrates	KB strategy + Glossary method on one client
Blog post	sits next to	Tactical sibling in the same cluster

This is the entity graph the site is built around. Every internal link names an entity and follows one of the predicates above.