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|Author(s):||Isabel M. Beichl; Brian D. Cloteaux;|
|Title:||Measuring the Effectiveness of the s-Metric to Produce Better Network Models|
|Published:||December 07, 2008|
|Abstract:||Recent research has shown that while many complex networks follow a power-law distribution for their vertex degrees, it is not sufficient to model these networks based only on their degree distribution. In order to better distinguish between these networks, the metric s was introduced to measure how interconnected the hub nodes are in a network. We examine the effectiveness of creating network models based on this metric. Through a series of computational experiments, we compare how well a set of common structural network metrics are preserved between instances of the autonomous system Internet topology and a series of random models with identical degree sequences and similar s values. We demonstrate that creating models based on the s metric can produce moderate improvement in structural characteristics over strictly using degree distribution. Our results also indicate that some interesting relationships exist between the s metric and the various structural metrics.|
|Proceedings:||Proceedings of the Winter Simulation Conference|
|Pages:||pp. 1020 - 1028|
|Dates:||December 7-10, 2008|
|Keywords:||network models, s metric|
|PDF version:||Click here to retrieve PDF version of paper (446KB)|