AHA knowledge graph topology — 95 nodes, 273 edges, modularity 0.66. Seven topic clusters reveal the structural architecture of AHA’s strategic intelligence landscape.
Betweenness centrality measures how often a cluster acts as a bridge between other clusters. Higher betweenness indicates strategic importance as a knowledge gateway.
Core knowledge gateway connecting all strategic domains. AHA’s health intelligence infrastructure — the bridge between research output and public understanding. Keywords: cardiovascular research, health data, clinical insights, evidence-based.
Emerging technology cluster. AI-powered diagnostics, telehealth integration, and digital health tools. Structurally isolated from Behavior Change — a key strategic disconnect. Keywords: artificial intelligence, digital health, telehealth, wearables.
No direct connection to Behavior Change. AI-driven health tools lack behavioral science integration.Structural Gap Analysis
Grant allocation, NIH partnerships, and research investment strategy. Critical pipeline for maintaining scientific credibility and institutional authority. Keywords: NIH grants, research investment, clinical trials, scientific credibility.
Donor engagement and fundraising effectiveness. Low betweenness indicates this cluster operates in relative isolation from the broader strategic network. Keywords: donor engagement, campaign ROI, philanthropic partnerships, annual giving.
DEI initiatives, community health education, and health literacy programs. Connected to Health Insights but weakly linked to AI Medicine — an opportunity gap. Keywords: health equity, community education, health literacy, disparities.
Emerging priority area. Maternal cardiovascular health, pregnancy-related complications, and gender-specific research. Small but strategically important cluster. Keywords: maternal health, pregnancy, women’s cardiovascular, prenatal care.
Behavioral science and lifestyle modification. CRITICALLY disconnected from AI & Digital Medicine cluster — this is the primary structural gap in AHA’s strategy. Keywords: lifestyle modification, habit formation, patient engagement, motivation.
AI-driven health tools lack behavioral science integration. This structural gap means digital medicine innovations cannot inform lifestyle modification strategies — the single largest disconnect in AHA’s knowledge graph.— SHUR Network Intelligence, Structural Gap Analysis