The Neo4j team analyzed Twitter activity around OSCON (Open Source Conference) and created a graph model representing users, tweets, hashtags, and shared links. They used the Twitter Search API to collect data on mentions of "OSCON" and then populated their graph model with nodes and relationships using Cypher, Neo4j's query language. The resulting graph highlights implicit connections between users based on shared hashtags, mentions, and links, allowing for discovery of new groups or topics of interest. A visualization tool was created to display this data, showing how people are connected through shared interests, and can be used to test custom queries on the graph model.