Around power law for PageRank components in Buckley-Osthus model of web graph
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- Type
- preprint
- Published
- 2017-01-08
- Cited by
- 0
- References
- 61
- Access
- Open access
- OpenAlex
- https://openalex.org/W2578582526
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:19464701
Keywords
PageRank, Computer science, Graph, Ranking (information retrieval), Power law
References
- Mathematical Aspects of Mixing Times in Markov Chains
- Обратные и некорректные задачи математической физики
- Сложность задач и эффективность методов оптимизации
- Введение в оптимизацию
- сетевых исследованиях в социальных науках
- Population Games And Evolutionary Dynamics
- The concentration of measure phenomenon
- Метод Монте-Карло в нелинейной статистической оптике,
- Google's PageRank and Beyond
- Exactness, inexactness and stochasticity in first-order methods for large-scale convex optimization
- Stochastic Intermediate Gradient Method for Convex Problems with Inexact Stochastic Oracle
- Concentration inequalities for Markov chains by Marton couplings and spectral methods
- Networks: An Introduction
- Хищник и жертва – взаимодействие на индивидуальном уровне. Механизмы избирательности
- Universal gradient methods for convex optimization problems
- Chernoff-type bound for finite Markov chains
- Accelerated gradient methods for nonconvex nonlinear and stochastic programming
- A Brief History of Generative Models for Power Law and Lognormal Distributions
- Markov Chains and Stochastic Stability
- Degree Distribution and Number of Edges between Nodes of Given Degrees in the Buckley–Osthus Model of a Random Web Graph
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