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Iterative Neighbour-Information Gathering for Ranking Nodes in Complex Networks
Designing node influence ranking algorithms can provide insights into network dynamics, functions and structures. Increasingly evidences reveal that node’s spreading ability largely depends on its neighbours. We introduce an iterative neighbourinformation gathering (Ing) process with three parameter...
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| Veröffentlicht in: | Sci Rep |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Publishing Group
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5259765/ https://ncbi.nlm.nih.gov/pubmed/28117424 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep41321 |
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