首页> 外文会议>第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)论文集 >On Necessary Conditions for Scale-Freedom in Complex Networks with Applications to Computer Communication Systems
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On Necessary Conditions for Scale-Freedom in Complex Networks with Applications to Computer Communication Systems

机译:复杂网络中尺度自由的必要条件及其在计算机通信系统中的应用

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Many complex networks exhibit a scale-free,power-law distribution of vertex degrees.This common feature is a consequence of two generic mechanisms relating to the formation of real networks:(i)Networks tend to expand over time through the addition of new vertices,and(ii)New vertices attach preferentially to those that are already well connected.We show that for many natural or man-made complex networks possessing a scale-free power-law distribution with the exponent γ>2,the number of degree-1 vertices,when nonzero,is of the same order as the network size N and that the average degree is of order log N.Our results expose another necessary characteristic of such networks.Furthermore,our method has the benefit of relying only on conditions that are static and easily verified for arbitrary networks.We use the preceding results to derive a closed-form formula approximating the distance distribution in scale-free networks.Such distributions find extensive applications in computer communication networks and software architecture.
机译:许多复杂的网络都表现出顶点度的无标度,幂律分布。此共同特征是与真实网络形成有关的两种通用机制的结果:(i)随着时间的流逝,网络往往会通过添加新的顶点来扩展,并且(ii)新顶点优先连接到已经连接良好的那些顶点。我们证明,对于许多自然或人为的复杂网络,它们具有无标度幂律分布且指数γ> 2,其次数为- 1个顶点(当非零时)与网络大小N相同,平均度为对数N。我们的结果揭示了此类网络的另一个必要特征。此外,我们的方法的好处是仅依赖于以下条件:是静态的,可以轻松地对任意网络进行验证。我们使用前面的结果来得出一种近似形式的公式,用于近似无标度网络中的距离分布。此类分布在计算机通信中有广泛的应用在网络和软件架构上。

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