Abstract
Recent years have been witnessing an explosion of graph data from a variety of scientific, social, economic, and technological domains. In its simplest form, a graph is a collection of individual objects interconnected in some way. Examples include electric power grids connecting power grids across geographically distributed locations, global financial systems connecting banks worldwide, and social networks linking individual users, businesses, or customers by friendship, collaboration, or transaction interactions.
| Original language | English |
|---|---|
| Title of host publication | Practical Graph Mining with R |
| Pages | 1-8 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781439860854 |
| DOIs | |
| State | Published - 1 Jan 2013 |
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