algo-seo-pagerank
PageRank Algorithm
Overview
PageRank computes the importance of web pages by modeling a random surfer who follows links with probability d (damping factor) and jumps to a random page with probability 1-d. Converges in O(k * E) where k is iterations and E is number of edges.
When to Use
Trigger conditions:
- Computing page importance from link graph structure
- Building link-based authority scoring systems
- Analyzing citation networks or any directed graph importance
When NOT to use:
- When you only need keyword relevance (use TF-IDF instead)
- When the graph is undirected or unweighted (consider centrality measures)
Algorithm
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