Graph Algorithms in SQL
PageRank
The PageRank algorithm (named after Google’s Larry Page) is used to measure the importance of each node within a network or graph. PageRank is measured on each node or entity with a score based on the number of incoming relationships it has, as well as the importance of the corresponding sources nodes. The score ranges from 0 to 10, where 0 has no importance and 10 has significant importance in the graph.
Nodes in the Network with PageRank Score
Sample use cases
Marketing SEO
Ranking of webpages to prioritize search results
Fraud Detection
Detecting fraud anomalies based on the high-ranking reoccurring suspicious entities
Social Media
Recommending accounts to follow based on their ranking
Health Care
Recommending health practitioners based on their ranking
Finance
Selecting stocks based on set criteria ranking
Geospatial Data
Ranking streets to predict traffic
