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Effect of spatial distance on search information correlation in complex systems
  • ISSN号:1001-6538
  • 期刊名称:Chinese Science Bulletin
  • 时间:0
  • 页码:3671-3676
  • 分类:TP391[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术] N941.4[自然科学总论—系统科学]
  • 作者机构:[1]Complexity Science Center, Institute of Particle Physics, Central China Normal University, Wuhan 430079, China
  • 相关基金:supported by the National Natural Science Foundation of China (10647125, 10635020, 10975057 and 10975062); the Program of Introducing Talents of Discipline to Universities (B08033)
  • 相关项目:基于复杂网络的传播系统中临界性与适应性研究
中文摘要:

空间距离在在某个空间嵌入的一个网络的出席模式上有显著效果。首先,我们调查空间限制怎么导致在真实网络强壮、线性、积极的信息信息关联。我们然后构造一个二维的空格,为网络的节点定义行动半径 R,并且建议取决于空间距离的模型的一个类。模型的信息关联与真实网络的一致。空间距离在产生由度的配对的混合中起主要作用,当混合的 disassortative 的产生依靠两个时优先的附件和空间限制的度。

英文摘要:

Spatial distance has a remarkable effect on the attended mode of a network embedded in a certain space. First, we investigate how spatial restriction leads to information-information correlation that is strong, linear and positive in real networks. We then construct a two-dimensional space, define the action radius R for nodes of networks, and propose a class of models that depend on spatial distance. Information correlation of the models is consistent with that of real networks. The spatial distance plays a leading role in generating assortative mixing by degree, while the generation of disassortative mixing relies on both the degree of preferential attachment and spatial restriction.

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