For acceleration of pathway selection, application, and ranking in a hybrid network

A method of directing a computer that accesses hybrid network representation, the hybrid network representation having a schema describing a plurality of node types and link types, the method comprising:

• a. Receiving an identification from a user of a type of start node and a type of end node
• b. Determining a plurality of pathways from each node of the start node type to each node of the end node type
• c. Counting the links between nodes of each of the plurality of pathways;
• d. Ordering the plurality of pathways in order of fewest links per pathway to most links per pathway;
• and
• e. Ranking the ordered plurality of pathways on the basis of a cardinality of at least one node of at least one pathway.

A tangible, non-transitory computer-readable media comprising machine-readable instructions that direct a computational system to execute the method comprising:

• a. Generating an object-oriented schema from a hybrid network schema or a relational schema;
• b. Analyzing the object-oriented schema to determine a plurality of search pathways that link rows in one table with rows in the same or another table of a same or two different relational database of the hybrid network;
• c. Ranking each of the plurality of search pathways for expected computational efficiency, the ranking derived in consideration of a cardinality of at least an object representation of a row, wherein a pathway between a first source node and a first destination node exhibiting at least one link have a one-to-one cardinality is ranked for earlier instantiation than an alternate pathway having the first source node as a source node and the first destination node as a destination node and equal link count;
• d. Informing a user of the ranking of the plurality of pathways;
• e. Receiving a modification of the ranking of the plurality of pathways;
• and
• f. Providing the search pathways in a user modified order to a query engine in accordance with the expected computational efficiency search ranking and the user ranking modification.