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Using higher-order Markov models to reveal flow-based communities in networks

Complex systems made of interacting elements are commonly abstracted as networks, in which nodes are associated with dynamic state variables, whose evolution is driven by interactions mediated by the edges. Markov processes have been the prevailing paradigm to model such a network-based dynamics, fo...

詳細記述

保存先:
書誌詳細
出版年:Sci Rep
主要な著者: Salnikov, Vsevolod, Schaub, Michael T., Lambiotte, Renaud
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4814833/
https://ncbi.nlm.nih.gov/pubmed/27029508
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep23194
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