Percolation on networks with conditional dependence group.
Recently, the dependence group has been proposed to study the robustness of networks with interdependent nodes. A dependence group means that a failed node in the group can lead to the failures of the whole group. Considering the situation of real networks that one failed node may not always break t...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4433190?pdf=render |
| _version_ | 1818982483529564160 |
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| author | Hui Wang Ming Li Lin Deng Bing-Hong Wang |
| author_facet | Hui Wang Ming Li Lin Deng Bing-Hong Wang |
| author_sort | Hui Wang |
| collection | DOAJ |
| description | Recently, the dependence group has been proposed to study the robustness of networks with interdependent nodes. A dependence group means that a failed node in the group can lead to the failures of the whole group. Considering the situation of real networks that one failed node may not always break the functionality of a dependence group, we study a cascading failure model that a dependence group fails only when more than a fraction β of nodes of the group fail. We find that the network becomes more robust with the increasing of the parameter β. However, the type of percolation transition is always first order unless the model reduces to the classical network percolation model, which is independent of the degree distribution of the network. Furthermore, we find that a larger dependence group size does not always make the networks more fragile. We also present exact solutions to the size of the giant component and the critical point, which are in agreement with the simulations well. |
| first_indexed | 2024-12-20T17:47:56Z |
| format | Article |
| id | doaj.art-0891dae89cf24e76a6477bd9dcf1f525 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-20T17:47:56Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-0891dae89cf24e76a6477bd9dcf1f5252022-12-21T19:30:56ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01105e012667410.1371/journal.pone.0126674Percolation on networks with conditional dependence group.Hui WangMing LiLin DengBing-Hong WangRecently, the dependence group has been proposed to study the robustness of networks with interdependent nodes. A dependence group means that a failed node in the group can lead to the failures of the whole group. Considering the situation of real networks that one failed node may not always break the functionality of a dependence group, we study a cascading failure model that a dependence group fails only when more than a fraction β of nodes of the group fail. We find that the network becomes more robust with the increasing of the parameter β. However, the type of percolation transition is always first order unless the model reduces to the classical network percolation model, which is independent of the degree distribution of the network. Furthermore, we find that a larger dependence group size does not always make the networks more fragile. We also present exact solutions to the size of the giant component and the critical point, which are in agreement with the simulations well.http://europepmc.org/articles/PMC4433190?pdf=render |
| spellingShingle | Hui Wang Ming Li Lin Deng Bing-Hong Wang Percolation on networks with conditional dependence group. PLoS ONE |
| title | Percolation on networks with conditional dependence group. |
| title_full | Percolation on networks with conditional dependence group. |
| title_fullStr | Percolation on networks with conditional dependence group. |
| title_full_unstemmed | Percolation on networks with conditional dependence group. |
| title_short | Percolation on networks with conditional dependence group. |
| title_sort | percolation on networks with conditional dependence group |
| url | http://europepmc.org/articles/PMC4433190?pdf=render |
| work_keys_str_mv | AT huiwang percolationonnetworkswithconditionaldependencegroup AT mingli percolationonnetworkswithconditionaldependencegroup AT lindeng percolationonnetworkswithconditionaldependencegroup AT binghongwang percolationonnetworkswithconditionaldependencegroup |