A Markov Chain-Based Numerical Method for Calculating Network Degree Distributions

dc.creatorShi, Dinghua
dc.creatorChen, Qinghua
dc.creatorLiu, Liming
dc.date2004-09-30
dc.date2004-10-05
dc.date.accessioned2026-07-07T04:31:30Z
dc.date.available2026-07-07T04:31:30Z
dc.descriptionThis paper establishes a relation between scale-free networks and Markov chains, and proposes a computation framework for degree distributions of scale-free networks. We first find that, under the BA model, the degree evolution of individual nodes in a scale-free network follows some non-homogeneous Markov chains. Exploring the special structure of these Markov chains, we are able to develop an efficient algorithm to compute the degree distribution numerically. The complexity of our algorithm is O(t^2), where $t$ is the number of time steps for adding new nodes. We use three examples to demonstrate the computation procedure and compare the results with those from the existing methods.
dc.description11 pages, 3 figures, and 5 tables
dc.identifierhttps://arxiv.org/abs/math-ph/0409080
dc.identifierhttp://arxiv.org/abs/math-ph/0409080
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/57836
dc.subjectMathematical Physics
dc.subjectPACS: 84.35.+i; 64.60.Fr; 87.23.Ge
dc.titleA Markov Chain-Based Numerical Method for Calculating Network Degree Distributions
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