Concept Co-occurrencei

What This Shows: A force-directed network visualization of AI-related concepts that frequently appear together in the corpus. Nodes represent concepts (machine learning, ethics, pedagogy, etc.) and edges connect concepts that co-occur within the same text passages.

Why It Matters: Understanding which concepts cluster together reveals how AI discourse is structured. Strong connections between technology and ethics concepts, for example, indicate awareness of responsible AI development across the literature.

How to Interpret: Node size indicates frequency (larger = more common). Edge thickness shows co-occurrence strength. Colors represent concept categories: Technology (navy), Education (orange), Ethics (sage), Workforce (olive), Governance (burgundy). Click nodes to see their top connections. Drag nodes to explore the network.