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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2002.04351 |
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| _version_ | 1866912117893890048 |
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| author | Mendes, R. Vilela Araújo, Tanya |
| author_facet | Mendes, R. Vilela Araújo, Tanya |
| contents | Networks with long-range connections obeying a distance-dependent power law of sufficiently small exponent display superdiffusion, Lévy flights and robustness properties very different from the scale-free networks. It has been proposed that these networks, found both in society and biology, be classified as a new structure, the fractional networks. Particular important examples are the social networks and the modular hierarchical brain networks where both short- and long-range connections are present. The anomalous superdiffusive and the mixed diffusion behavior of these networks is studied here as well as its relation to the nature and density of the long-range connections. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2002_04351 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | Long-range connections and mixed diffusion in fractional networks Mendes, R. Vilela Araújo, Tanya Adaptation and Self-Organizing Systems Networks with long-range connections obeying a distance-dependent power law of sufficiently small exponent display superdiffusion, Lévy flights and robustness properties very different from the scale-free networks. It has been proposed that these networks, found both in society and biology, be classified as a new structure, the fractional networks. Particular important examples are the social networks and the modular hierarchical brain networks where both short- and long-range connections are present. The anomalous superdiffusive and the mixed diffusion behavior of these networks is studied here as well as its relation to the nature and density of the long-range connections. |
| title | Long-range connections and mixed diffusion in fractional networks |
| topic | Adaptation and Self-Organizing Systems |
| url | https://arxiv.org/abs/2002.04351 |