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Evaluating and Optimising Models of Network Growth
[article]
2009
arXiv
pre-print
This paper presents a statistically sound method for measuring the accuracy with which a probabilistic model reflects the growth of a network, and a method for optimising parameters in such a model. The technique is data-driven, and can be used for the modeling and simulation of any kind of evolving network. The overall framework, a Framework for Evolving Topology Analysis (FETA), is tested on data sets collected from the Internet AS-level topology, social networking websites and a
arXiv:0904.0785v1
fatcat:wqt2ggckynaulixfguw6ctbhyu