Abstract
Being a huge system, Internet topology structure is very complex. It can’t be treated as a plane simply, and its hierarchy must be analyzed. We used the k-core decomposition to disentangle the hierarchical structure of Internet Router-level topology. By analyzing the router-lever Internet topology measuring data from CAIDA (The Cooperative Association for Internet Data Analysis) ,we studied the characteristics of the nodes in the inner hierarchy and outer hierarchy respectively. The frequency-degree power law of the nodes which core-ness is lower and the regionally distribution of the nodes which coreness is higher were concluded. At last, the topology of every hierarchy was described by giving their figures. These descriptions can provide a valuable reference for modeling on the Internet topology.
Highlights
Being a classical instance of complex network, the research and modeling on Internet topology has become a hot topic at present [1,2,3,4,5,6,7,8,9,10]
The hierarchy of Internet router-level topology is analyzed in the paper
Combining with the actual topology measuring data, we described the characteristics of the hierarchy of Internet router-level topology
Summary
Being a classical instance of complex network, the research and modeling on Internet topology has become a hot topic at present [1,2,3,4,5,6,7,8,9,10]. The Embed Laboratory of Northeastern University can get the topology measuring data from CAIDA in the world, but can analyze the first topology information of neu node timely and dynamically. It can provide us abundant data resources and convenient conditions for researching the characteristics of Internet router-level topology. Under such background, the study on hierarchy of Internet router-level topology is carried out. Based on coreness, analyzing the hierarchy of Internet, and finding the laws among the hierarchies can describe the characteristics of Internet topology in detail, but can provide a feasible thought for modeling on Internet topology
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More From: International Journal of Communications, Network and System Sciences
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