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Understanding and preventing cascading breakdown in complex clustered networks.
| Content Provider | Semantic Scholar |
|---|---|
| Author | Huang, Liang Lai, Ying-Cheng Chen, Guanrong |
| Copyright Year | 2008 |
| Abstract | Complex clustered networks are ubiquitous in natural and technological systems. Understanding the physics of the security of such networks in response to attacks is of significant value. We develop a model, based on physical analysis and numerical computations, for the key ingredients of load dynamics in typical clustered networks. With this understanding, an effective strategy is proposed for preventing cascading breakdown, one of the most disastrous events that can happen to a complex networked system. |
| Starting Page | 036116 |
| Ending Page | 036116 |
| Page Count | 1 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://chaos1.la.asu.edu/~yclai/papers/PRE_08_HLC.pdf?origin=publication_detail |
| Alternate Webpage(s) | http://chaos1.la.asu.edu/~yclai/papers/PRE_08_HLC.pdf |
| PubMed reference number | 18851114v1 |
| Volume Number | 78 |
| Issue Number | 3 |
| Part | 2 |
| Journal | Physical review. E, Statistical, nonlinear, and soft matter physics |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Catabolism Disintegration (morphologic abnormality) |
| Content Type | Text |
| Resource Type | Article |