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.
为衡量产品模块化程度，将复杂网络理论及无标度模型应用于大批量定制领域，构建了产品族零部件关系网络。
Applying complex network theory and scale-free model to mass customization field, a part relation network of product family was constructed to evaluate the product modularization.
第二部分，为进一步探讨无标度网络的形成机制，我们研究加点、加边、重连和去边四种演化过程的随机网络模型。
In the second part, in order to explore further the mechanism responsible for scale-freenetworks, we introduce two extended models of the Barabási ?Albert model.
本文采用两种小世界模型和无标度模型构造出了束流输运网络。
We adopt two kinds of small world model and scale free BA model to construct the beam transport network.
具体讨论了具有分片线性传染力的SIR模型在无标度网络上的流行病传播阈值，并运用分片线性传染力得到了传播阈值为正的条件。
In further details, this paper discussed the epidemic threshold for disease spreading using SIR model with piecewise linear infectivity on scale-free networks.
讨论了一类度分布在无标度网络和随机网络之间连续可调的网络模型。
Discusses a class of continuously variable network models which are heterogeneously distributed in between scale-free networks and random networks.
提出了一个能构建小世界网络和无标度网络的演化模型，这演化模型保持节点规模和边数量不变，引入边非线性择优重连方法。
An evolving model that can construct small-world networks and scale-free networks is employed to introduce nonlinear rewiring methods with keeping the number of nodes and edges invariable.
最后讨论了改进无标度网络的鲁棒性，讨论的结果表明无论面对随机故障还是蓄意攻击，改进模型的鲁棒性都好于BA模型。
Finally, we discuss the robustness of improved model. Thediscussion result shows that the robustness of improved model is better than that of BAmodel under random failures or intentional attacks.
最后讨论了改进无标度网络的鲁棒性，讨论的结果表明无论面对随机故障还是蓄意攻击，改进模型的鲁棒性都好于BA模型。
Finally, we discuss the robustness of improved model. Thediscussion result shows that the robustness of improved model is better than that of BAmodel under random failures or intentional attacks.
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