Stochastic Approach for Link-Structure Analysis (SALSA) is a web page ranking algorithm designed by R. Lempel and S. Moran to assign high scores to hub and authority web pages based on the quantity of hyperlinks among them.
SALSA is less vulnerable to the Tightly Knit Community (TKC) effect than HITS.
A TKC is a topological structure within the Web that consists of a small set of highly interconnected pages.
The presence of TKCs in a focused subgraph is known to negatively affect the detection of meaningful authorities by HITS.
The Twitter Social network uses a SALSA style algorithm to suggest accounts to follow.