2.3.3 Barabasi-Albert无标度网络模型(Scale-free network model) 2.3.4网络模型小结
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扩展的无标度网络模型 Extended Scale-Free Network
Complex networks created by several typical models (such as scale-free network model) provide more accurate description for the real complex systems.
由一些具有代表性模型产生的复杂网络模型(诸如无标度网络模型等等)为网络的体系结构提供了更精确的描述。
参考来源 - 复杂网络的级联崩溃和病毒传播研究·2,447,543篇论文数据，部分数据来源于NoteExpress
针对现有路由策略的不足，在无标度网络模型下，本文提出了一种新的基于局部信息的路由策略。
Consider the deficiency of current routing strategies, we propose a new local information based routing strategy on a scale-free network.
得到了幂律指数介于2到3之间可调的无标度网络模型，并解析地给出了幂律指数随增长率变化的函数关系。
This network shows scale-free property when the growing rater is not large, and its power-law exponent is tunable from 2 to 3 thr.
实际网络中节点分布的一个广泛特征是度的无标度幂率分布，BA模型认为形成这种特征的两个主要因素是网络增长和节点间的偏好连接。
A common property of many large networks is that the vertex degrees follow a scale-free power-law distribution, the BA model features two generic mechanisms: the networks expanding and the pref.
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