https://shio-chan-dev.github.io/jeanblog/tags/pagerank/Recent content in PageRank on Jeanphilo BlogHugo -- 0.160.0en-usMon, 09 Feb 2026 10:05:33 +0800https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/110-graph-computation-models-pregel-gas-parallel-bfs/Mon, 09 Feb 2026 10:05:33 +0800https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/110-graph-computation-models-pregel-gas-parallel-bfs/An engineering implementation framework centered on graph computation models: core abstractions, synchronization semantics, performance boundaries of Pregel and GAS, plus implementation and selection guidance for PageRank/CC/parallel BFS.https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/90-dynamic-graph-incremental-computation/Mon, 09 Feb 2026 10:00:28 +0800https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/90-dynamic-graph-incremental-computation/For real-world graph systems, this article systematically explains dynamic graph incremental algorithms: incremental shortest path, incremental PageRank, and connectivity maintenance. It focuses on three core engineering techniques: local recomputation, lazy updates, and approximate results.https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/60-pagerank-and-personalized-pagerank/Mon, 09 Feb 2026 09:54:25 +0800https://shio-chan-dev.github.io/jeanblog/dev/algorithm/graph/60-pagerank-and-personalized-pagerank/A systematic explanation of PageRank and Personalized PageRank, from iterative computation and sparse-matrix implementation to incremental update strategies, covering core graph-database scenarios such as recommendation and influence analysis.