The Shrink Network Knowledge Graph

Thirteen properties, one connected knowledge base. This page describes how the sites in the network fit together technically and editorially, so a reader (or a machine, or a large language model) can trace a topic across the whole ecosystem.

What is a knowledge graph?

A knowledge graph is a structured description of the entities on a website (people, organizations, articles, topics) and the relationships between them, written in a format search engines and AI systems can read. On Shrinkopedia every page emits a schema.org graph that names the reviewer, the organization, the parent network, the topic, and the relationships between them.

Across the network, every property emits an equivalent graph. Because the graphs share IDs, a reader arriving on any property can be recognized as being inside the same ecosystem, with the same medical reviewer, the same editorial standards, and the same set of related sites.

The shared entities

Every page in every property in the network includes references to the following shared entities:

• Shariq Refai, MD, MBA, FAPA. The medical reviewer of record, board-certified psychiatrist, and founder of the network. Referenced consistently across all thirteen sites with the same credentials, ORCID (0009-0009-1090-4373), NPI (1467680660), and Wikidata identifier (Q139822307).
• The Shrink Network (Organization). The parent brand that owns and coordinates the network. Every property is described as being part of this Organization.
• The individual property (Organization). Each site is its own Organization node so search engines and LLMs understand what the specific property does, alongside understanding that it's part of the larger network.
• The WebSite. Each property emits its own WebSite node with search action metadata.
• Topic entities. Content on Shrinkopedia is tagged with network_topics that align across properties, so a topic like "generalized anxiety disorder" or "cognitive behavioral therapy" can be recognized across the network.

The map of thirteen properties

The current network, grouped by function:

Reference and editorial (Understand)

• Shrinkopedia: the encyclopedia. The reference layer.
• Shrinktionary: the plain-language dictionary.
• AnxietyResource.org: plain-language editorial on anxiety.
• DepressionResource.org: plain-language editorial on depression.
• AnxietyResearch.org: research translation on anxiety.
• PsychiatryRx.org: medication guides.
• ShrinkDaily: daily learning.

Tools (Apply)

• shrinQ: structured self-guided program.
• Unstuck: private iPhone journal and reset app.
• QuitScrolling: phone boundary app.

Clinical (Care)

• shrinkMD: telepsychiatry practice. Operationally separate from every educational property in the network.

Profession

• shrinkiatry: writing about the profession of psychiatry itself.

Founder

• shariqrefai.com: Dr. Refai's personal site and long-form writing.
• ShrinkNetwork.com: the hub that describes the whole network and routes you where you need to go. Also emits the network-wide entity graph in one place.

How topics travel across the network

Each content entry on Shrinkopedia carries metadata (network_topics) that names the topics the entry covers. Related properties in the network use the same topic labels. When you're reading, for example, the entry on generalized anxiety disorder, the sidebar's "Your next step in The Shrink Network" block resolves the network_topics against what the sister properties have published on the same topic and surfaces those links.

Every outbound link to a sister site carries UTM parameters (utm_source=shrinkopedia, utm_medium=network_journey, utm_campaign=...) so each property can see the network traffic sent to it, and so we can keep improving the routing over time based on what readers actually follow.

The parent knowledge graph

ShrinkNetwork.com publishes the network-wide knowledge graph as its own page. It's the single source of truth for the network's structure, shared IDs, and cross-property relationships. Every property in the network references it. See the network knowledge graph on ShrinkNetwork.com for the full ecosystem view.

Why this matters

A knowledge graph is what allows a reader arriving from a search result (or a large language model summarizing an answer) to understand that Shrinkopedia is not a standalone content site but part of a psychiatrist-led ecosystem with consistent standards and shared identity. It supports the E-E-A-T signals search engines use, the citation preferences AI answer engines follow, and the trust readers form when they see the same reviewer and the same standards on every property they land on.

It's the technical spine of what "The Shrink Network" is as a coherent thing rather than a set of unrelated sites.