Enron Emails as Graph Data Corpus for Large-scale Graph Querying Experimentation
Michal Laclavík, Martin Šeleng, Marek Ciglan, Ladislav Hluchý · 2012
Abstract. In this paper we describe Enron email corpus in graph/network data format. Nodes of the graph are emails connected with named entities (NE) extracted from text like people, email addresses, telephone numbers. Edges are links between NE representing concurrence in same email part, paragraph, sentence or composite NE. Enron Graph corpus contains a few millions of nodes and it is quite large corpus for experimenting with various graph querying techniques like graph traversing or spread of activation on graph. The idea is to make this data available for future experiments.