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.

Introduction
Neo4j
Neo4j Overview
Cypher
Bolt Protocol
JavaScript
Visualization Tool
Index Free Adjacency
Clustering Architecture
Project Background
Graph Model
Analysis
Sources
URLs
Tweets
Annotation
Open Source Tools
Graph Algorithms
Graph Algorithms in Neo4j
Graph Visualization
Conclusion
Are you concerned about them learning
Twitters methodology
Reposting
Data Visualization
Data Analysis
Examples