give the page rank of the graph g as a rule list.
- PageRanks functionality is now available in the built-in Wolfram Language function PageRankCentrality.
- To use PageRanks, you first need to load the Graph Utilities Package using Needs["GraphUtilities`"].
- The following options can be given:
Tolerance Automatic tolerance used for convergence check TeleportProbability 0.15 probability of visiting random nodes RemoveSinks True whether to remove sinks by linking them with every node
- The page rank of a node measures the probability of a web surfer visiting that node. At any node, the surfer is assumed to follow all outlinks with equal probability; in addition, the surfer may visit any node randomly with a certain probability (TeleportProbability).
- The page rank algorithm uses an iterative procedure to find the page ranks. When the average change in the page ranks is less than the setting for Tolerance, the iterative process terminates.
Basic Examples (2)
PageRanks has been superseded by PageRankCentrality:
Wolfram Research (2007), PageRanks, Wolfram Language function, https://reference.wolfram.com/language/GraphUtilities/ref/PageRanks.html.
Wolfram Language. 2007. "PageRanks." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/GraphUtilities/ref/PageRanks.html.
Wolfram Language. (2007). PageRanks. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/GraphUtilities/ref/PageRanks.html