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In this paper, based on simulated annealing a new method to rank important nodes in complex networks is presented.First, the concept of an importance sequence(IS) to describe the relative importance of nodes in complex networks is defined. Then, a measure used to evaluate the reasonability of an IS is designed. By comparing an IS and the measure of its reasonability to a state of complex networks and the energy of the state, respectively, the method finds the ground state of complex networks by simulated annealing. In other words, the method can construct a most reasonable IS. The results of experiments on real and artificial networks show that this ranking method not only is effective but also can be applied to different kinds of complex networks. 相似文献
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摘要: 目的 探讨红藻氨酸( Kainic Acid,KA) 致癫痫大鼠癫痫发作过程中海马组织神经生长因子( nerve growth factor,NGF) 不同时间点表达量的变化。方法 腹腔注射 KA 建立大鼠癫痫模型。采用 TaqMan 探针实时定量 PCR ( Real-time quantitative PCR) 技术,检测注射 KA 后不同时点大鼠海马组织中 NGF 表达量的变化。结果 与 NGF 表达量与生理盐水对照组( NS) 相比,6 ~ 12 h NGF 表达量明显低于 NS 组( P < 0. 05) 、48 ~ 72 h NGF 表达量开始升高并高于 NS 组,在 24、72 h 时其表达量显著高于 NS 组( P < 0. 05) 。结论 NGF 对致癫大鼠的海马具有修复与保护作用。 相似文献