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In this paper, we seek to understand the properties related with the hierarchical structure of the Internet Router-level topology. We first analyzed the hierarchical features of the Internet Router-level topology with the actual topology measuring data authorized by CAIDA (The Cooperative Association for Internet Data Analysis) Skitter project. Then we analyzed the distribution of the nodes in each...
The research was based on the massive data authorized by CAIDA (The cooperative association for Internet data analysis) Skitter project. We used the k-core decomposition to disentangle the hierarchical structure of Internet router-level topology. Combining with the actual topology measuring data, we first exhibited the pruning procedure of Internet router-level topology. Then we analyzed the characteristics...
The analysis on the degree distribution and spectral density of graph spectrum of Internet topology structure is the principle content of modeling on Internet router-level topology. In this paper, we studied the fractal features of Internet topology structure. According to the sample algorithm, we got two different groups of sample topologies from Internet topology measuring data of CAIDA. We analyzed...
Based on the data samples authorized by CAIDA, we analyze the Internet router-level topology. By extracting several features of network property, we found obvious disparity distinction between the comparing results measured by single monitor point and multiple monitor points respectively, which approves that the sampling bias caused by single monitor point take primary effect on the Internet topology...
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