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Ryan Orban

Ryan Orban

Subject
4 entries

Network Analysis

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. Mapping Twitter Topic Networks: From Polarized Crowds to Community Clusters

    Pew Research Center's 2014 network analysis of Twitter conversations — classifying discussion patterns into six archetypes (polarized crowds, tight crowds, brand clusters, community clusters, broadcast networks, support networks). A rigorous look at how online discourse actually structures itself.

  3. Data Science of the Facebook World

    Stephen Wolfram's data science analysis of Facebook social graph patterns — age cohort differences in network structure, relationship status effects, and how Wolfram Language's data computation tools enable individual-level analysis of social network data. A 2013 example of using data for personal-scale social science.

  4. 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