Betweenness Centrality (Hub Page)

Betweenness Centrality is a graph metric that measures how many shortest paths between all node pairs pass through a given node; the more paths, the greater the node's role as a 'bridge' in the graph. High values indicate pages connecting different topical clusters, making them ideal candidates for Hub Pages (pages that link sub-topics and direct traffic to multiple parts of the site). In SEO, betweenness centrality identifies pages critical for link equity flow: removing such a page cuts connections between clusters.

For example, in a legal website, an article 'What Is Civil Law' might have the highest betweenness because it connects inheritance, family, and contract law clusters. Betweenness Centrality is complementary to degree centrality — degree measures how many connections a node has, betweenness measures how important it is for network communication.

In practice, calculate betweenness centrality in Neo4j with Cypher queries and identify the top 5 bridge pages. These are pages that MUST have excellent content and linking.