Graph Synopses, Sketches, and Streams: A Survey
Massive graphs arise in any application where there is data about both basic entities and the relationships between these entities, e.g., web-pages and hyperlinks; neurons and synapses; papers and citations; IP addresses and network flows; people and their friendships. Graphs have also become the de facto standard for representing many types of highly structured data. However, the sheer size of many of these graphs renders classical algorithms inapplicable when it comes to analyzing such graphs. In addition, these existing algorithms are typically ill-suited to processing distributed or stream data.