| A Robustness Model of Complex Networks with Tunable Attack Information Parameter |
| |
| 作者姓名： | 吴俊 谭跃进 邓宏钟 李勇 |
| |
| 作者单位： | College of Information Systems and Management, National University of Defense Technology, Changsha 410073 |
| |
| 基金项目： | Supported by the National Natural Science Foundation of China under Grant No 70501032. |
| |
| 摘 要： |
|
| 关 键 词： | 坚固模型 复合物 网络 信息参数 |
| 收稿时间： | 2007-1-7 |
| 修稿时间： | 2007-01-07 |
A Robustness Model of Complex Networks with Tunable Attack Information Parameter |
| |
| WU Jun,TAN Yue-Jin,DENG Hong-Zhong,LI Yong.A Robustness Model of Complex Networks with Tunable Attack Information Parameter[J].Chinese Physics Letters,2007,24(7):2138-2141. |
| |
| Authors: | WU Jun TAN Yue-Jin DENG Hong-Zhong LI Yong |
| |
| Institution: | College of Information Systems and Management, National University of Defense Technology, Changsha 410073 |
| |
| Abstract: | We introduce a novel model for robustness of complex with a tunable attack information parameter. The random failure and intentional attack known are the two extreme cases of our model. Based on the model, we study the robustness of complex networks under random information and preferential information, respectively. Using the generating function method, we derive the exact value of the critical removal fraction of nodes for the disintegration of networks and the size of the giant component. We show that hiding just a small fraction of nodes randomly can prevent a scale-free network from collapsing and detecting just a small fraction of nodes preferentially can destroy a scale-free network. |
| |
| Keywords: | 89 75 Hc 89 75 Fb 05 70 Jk |
| 本文献已被 维普 等数据库收录！ |
| 点击此处可从《中国物理快报》浏览原始摘要信息 |
| 点击此处可从《中国物理快报》下载免费的PDF全文 |
