Graph Analysis of Russian Twitter Trolls Using Neo4j

Explore graph analysis techniques for investigating Russian Twitter trolls using Neo4j in this Stanford University seminar. Dive into the reconstruction of a Twitter network subset tied to Russia's Internet Research Agency, applying graph analytics to uncover fake news propagation methods. Learn about data collection, property graph flexibility, and the application of NLP and graph algorithms like PageRank and community detection in social media analysis. Discover how to use Cypher, the graph query language, and leverage visualization techniques to interpret and share data insights. Gain an overview of graph databases and Neo4j, suitable for all skill levels. Presented by William Lyon, a Neo4j Developer Relations Engineer, this talk covers topics including data journalism, graph integration tools, and real-world applications in various industries.