graph.diffuseP1: Diffuse Probability P1 from a starting node.
In lashmore/MolEndoMatch: Molecular Endophenotype Patient Matchmaking

Recursively diffuse probability from a starting node based on the connectivity of the background knowledge graph, representing the likelihood that a variable will be most influenced by a perturbation in the starting node.

1 2	graph.diffuseP1(p1, startNode, G, visitedNodes, graphNumber = 1, verbose = FALSE)

`p1`	- The probability being dispersed from the starting node, startNode.
`startNode`	- The first variable drawn in the adaptive permutation node sequence, from which p1 gets dispersed.
`G`	- The igraph object associated with the background knowledge graph.
`visitedNodes`	- The history of previous draws in the permutation sequence.
`graphNumber`	- If testing against multiple background knowledge graphs, this is the index associated with the adjacency matrix that codes for G. Default value is 1.
`verbose`	- If debugging or tracking a diffusion event, verbose=TRUE will activate print statements. Default is FALSE.