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Ryan Orban

Ryan Orban

Subject
3 entries

Graph Theory

Bookmarks

  1. Crunchbase Network Analysis with Python

    A Zipfian Academy alumnus's network analysis of the Crunchbase investment graph in Python — using graph centrality measures to identify influential investors and startups. An early example of applying graph algorithms to startup ecosystem data.

  2. Google PageRank: Implementation

    A practical explainer on implementing the original Google PageRank algorithm — walking through the iterative link-analysis computation from the Brin/Page paper. Saved when learning graph algorithms and search engine internals.

  3. SNAP: Stanford Network Analysis Project Manual

    The manual for SNAP (Stanford Network Analysis Project) v0.15 — Jure Leskovec's C++ library for large-scale graph analysis and network mining. One of the earliest high-performance graph analysis toolkits, predating Spark GraphX and Neo4j's graph algorithms by years.

All bookmarks