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Details for article 2 of 7 found articles
| Title: |
Communities of interest |
| Author: |
Cortes, Corinna Pregibon, Daryl Volinsky, Chris |
| Appeared in: |
Intelligent data analysis |
| Paging: | Volume 6 (2002) nr. 3 pages 211-219 |
| Year: |
2002-08-30 |
| Contents: |
We consider problems that can be characterized by large dynamic graphs. Communication networks provide the prototypical example of such problems where nodes in the graph are network IDs and the edges represent communication between pairs of network IDs. In such graphs, nodes and edges appear and disappear through time so that methods that apply to static graphs are not sufficient. We introduce a data structure that captures, in an approximate sense, the graph and its evolution through time. The data structure arises from a bottom-up representation of the large graph as the union of small subgraphs centered on every node. These subgraphs are interesting in their own right and can be enhanced to form what we call Communities of Interest (COI).We discuss two applications in the area of telecommunications fraud detection to help motivate the ideas. |
| Publisher: |
IOS Press |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 2 of 7 found articles
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