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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...
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| 出版年: | Sci Rep |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group
2016
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| 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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