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Bayesian method for inferring the impact of geographical distance on intensity of communication
Spatially-embedded networks represent a large class of real-world networks of great scientific and societal interest. For example, transportation networks (such as railways), communication networks (such as Internet routers), and biological networks (such as fungal foraging networks) are all spatial...
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| Veröffentlicht in: | Sci Rep |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group UK
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7367279/ https://ncbi.nlm.nih.gov/pubmed/32678148 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-68583-1 |
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