Unraveling the effects of multiscale network entanglement on empirical systems
The dynamics of information within complex networks can be captured by a set of operators where the effect of detachment of a node defines the node-networks entanglement, which can be used as a multiscale centrality measure. Here, the authors show that the nodes with high entanglement centrality, wh...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-06-01
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| Series: | Communications Physics |
| Online Access: | https://doi.org/10.1038/s42005-021-00633-0 |
| _version_ | 1818845851406041088 |
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| author | Arsham Ghavasieh Massimo Stella Jacob Biamonte Manlio De Domenico |
| author_facet | Arsham Ghavasieh Massimo Stella Jacob Biamonte Manlio De Domenico |
| author_sort | Arsham Ghavasieh |
| collection | DOAJ |
| description | The dynamics of information within complex networks can be captured by a set of operators where the effect of detachment of a node defines the node-networks entanglement, which can be used as a multiscale centrality measure. Here, the authors show that the nodes with high entanglement centrality, which are critical for information dynamics, are also the ones responsible for keeping the network integrated. |
| first_indexed | 2024-12-19T05:36:13Z |
| format | Article |
| id | doaj.art-6d1408f43f6042f495fc9f8a7075347a |
| institution | Directory Open Access Journal |
| issn | 2399-3650 |
| language | English |
| last_indexed | 2024-12-19T05:36:13Z |
| publishDate | 2021-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Physics |
| spelling | doaj.art-6d1408f43f6042f495fc9f8a7075347a2022-12-21T20:34:08ZengNature PortfolioCommunications Physics2399-36502021-06-014111010.1038/s42005-021-00633-0Unraveling the effects of multiscale network entanglement on empirical systemsArsham Ghavasieh0Massimo Stella1Jacob Biamonte2Manlio De Domenico3CoMuNe Lab, Fondazione Bruno KesslerCoMuNe Lab, Fondazione Bruno KesslerSkolkovo Institute of Science and TechnologyCoMuNe Lab, Fondazione Bruno KesslerThe dynamics of information within complex networks can be captured by a set of operators where the effect of detachment of a node defines the node-networks entanglement, which can be used as a multiscale centrality measure. Here, the authors show that the nodes with high entanglement centrality, which are critical for information dynamics, are also the ones responsible for keeping the network integrated.https://doi.org/10.1038/s42005-021-00633-0 |
| spellingShingle | Arsham Ghavasieh Massimo Stella Jacob Biamonte Manlio De Domenico Unraveling the effects of multiscale network entanglement on empirical systems Communications Physics |
| title | Unraveling the effects of multiscale network entanglement on empirical systems |
| title_full | Unraveling the effects of multiscale network entanglement on empirical systems |
| title_fullStr | Unraveling the effects of multiscale network entanglement on empirical systems |
| title_full_unstemmed | Unraveling the effects of multiscale network entanglement on empirical systems |
| title_short | Unraveling the effects of multiscale network entanglement on empirical systems |
| title_sort | unraveling the effects of multiscale network entanglement on empirical systems |
| url | https://doi.org/10.1038/s42005-021-00633-0 |
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