Node (Graph Node)
Knowledge GraphsA Node is a basic element of a knowledge graph representing an entity (topical being) or attribute (property of an entity). A node is a 'point' on the knowledge map from which edges (relationships) extend to other nodes.
In Neo4j, nodes are created with the MERGE operation using type labels (Entity, Attribute) and properties (name, urr_type, layer). Each node can have multiple edges—their count is called degree centrality, which determines the node's importance.
In SEO context, each significant node is a potential page on the site (NODE Page), and edges between nodes are potential internal links. Nodes are divided into types: Entity (main concept, e.g., 'Probate'), Attribute (property, e.g., 'statute_of_limitations'), and optionally Value (specific data, e.g., '10_lat').
For example, in a law firm's graph we have 50 entity nodes and 200 attribute nodes connected by ~400 edges. In practice, name nodes consistently (lowercase, snake_case)—'Probate', 'probate', and 'PROBATE' are three different nodes in Neo4j, creating unwanted duplicates.