The text discusses the analysis of leaked financial documents by journalists using various tools and techniques. The ICIJ (International Consortium of Investigative Journalists) used a graph data model to represent relationships between entities such as companies, officers, and clients. They analyzed metadata from documents using Apache Solr and Tika, and connected it to create a graph in Neo4j. The text highlights the importance of extracting named entities, determining relationships, and analyzing data using graph queries and visualizations. It also discusses potential issues with the ICIJ data model, such as duplicates and incomplete information. The authors provide examples of how to extend the basic graph model used by the ICIJ, including introducing new entities, relationships, and activities. They demonstrate how to create a graph from leaked documents using Cypher in Neo4j and show interesting queries that can be run on the graph.