SHURIQ · v0.5 · AGD · Corpus Graph Visualization 2026-05-02
Academy of General Dentistry · Identity Architecture · Corpus Graph

The structural picture behind the report.

An interactive view of the discourse graph generated from the AGD report's corpus — clusters, top concepts, and the structural gap pairs the analysis names. Every cluster label is auto-derived from its top-3 concept nodes; every gap pair was surfaced from the corpus, not editorial assertion.

shuriq-agd-editorial-2026-05 9 clusters 0.405 modularity 3 structural gaps Auto-labels Q3.4 conf ≥0.2
01 · Cluster Network

Force-directed corpus graph

Top concepts plotted by betweenness centrality (sqrt-scaled radii); edges drawn from top-relations bigrams; nodes colored by cluster family. Drag any node, hover for full betweenness + cluster info.

Hover for tooltip · drag any node · auto-stops after 5s for performance · cluster colors map to the 9 families below
02 · Cluster Families

Nine clusters · auto-derived labels

Each cluster's label is generated from its top-3 nodes (Q3.4 confidence threshold ≥0.2). Percentage = share of corpus betweenness held by the cluster.

Cluster 134%

Structural Dynamics

agd · membership · member · program · structural · pace · position · single
Cluster 221%

Community Engagement

ce · association · dental · platform · professional · community · function · satisfy
Cluster 316%

Consumer Navigation

directory · facing · consumer · dentist · patient · healthgrade · zocdoc · google
Cluster 413%

Credential Pathways

credential · magd · cluster · student · fagd · node · pipeline · network
Cluster 58%

Trust Gaps

public · trust · gap · identity · competitive · frame · clarity · compress
Cluster 63%

Educational Framework

education · continuing · spear · center · set · requirement · high · kois
Cluster 73%

Dental Infrastructure

general · infrastructure · dentistry · system · journal · knowledge · narrative
Cluster 81%

Specialty Expansion

society · club · specialty · aacd · study · ada · specialist · expanding
Cluster 91%

Competitive Landscape

compete · loyalty · lower · friction · loose
03 · Concept Stack Rank

Top concepts by betweenness centrality

Concepts ranked by their bridging influence in the AGD corpus graph. Bar length scales with raw betweenness centrality (BC) value; degree noted on the right.

Metric · betweenness centrality, computed across the corpus graph (n ≈ 130 concept nodes, 9 clusters). Top 4 hold 36% of total betweenness mass.
04 · Structural Gap Pairs

Three real gaps surfaced from the corpus

Each gap pair names a structural absence — a place where the corpus graph would benefit from a bridge concept that does not yet exist. The gaps below were surfaced by InfraNodus's generate_content_gaps against this corpus, not editorial assertion. Gap 1 corresponds to the Reframe in §10 of the editorial.

Gap 1Consumer Navigation → Credential Pathways

The credential-to-public-trust disconnection.

From: directory · consumer · patient · healthgrade · zocdoc
To: credential · fagd · magd · pipeline · student

Patients searching the public-facing directory cannot navigate to the FAGD/MAGD credential. The Find a Dentist directory and the credential program live in separate clusters with no bridge node. This is the load-bearing gap the §10 Reframe addresses.

Gap 2Community Engagement → Credential Pathways

Membership-community language disconnected from credential trajectory.

From: ce · association · platform · professional · community
To: credential · fagd · magd · pipeline · student

Member-community framing does not connect to the credential pipeline. Dentists encountering AGD as a community organization do not see the credentialing institution. This drives Gap 4 in §11 — student pathway as acquisition funnel rather than credential pipeline.

Gap 3Community Engagement → Consumer Navigation

Member-side framing does not bridge to public-trust framing.

From: ce · association · platform · professional · community
To: directory · consumer · patient · healthgrade

The CE/community/membership cluster does not connect to the consumer-facing directory cluster. Member-value language and public-trust language operate in parallel without compounding — exactly the architectural pattern the editorial names as the central tension.

05 · Method

How this graph was built

Corpus: the AGD Editorial Brief — Sales report content, generated through the ShurIQ Report Studio v0.5 runtime. Graph created via infranodus.create_knowledge_graph on the report prose. Cluster auto-labels via top-3 node detection (confidence ≥0.2). Content gaps surfaced via generate_content_gaps. Top concepts ranked by betweenness centrality computed across the full graph.

This visualization is a post-publish corpus pull — the original report shipped with graph_status=skipped (pre-runtime-integration generation). The graph here was built from the report after the fact and is structurally consistent with what a v0.5 native run would have produced.

Graph URL · https://infranodus.com/sensecollective/shuriq-agd-editorial-2026-05/edit

← Back to editorial