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Effect of spatial distance on search information correlation in complex systems

Effect of spatial distance on search information correlation in complex systems
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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. 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.
出处 《Chinese Science Bulletin》 SCIE EI CAS 2011年第34期3671-3676,共6页
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)
关键词 空间距离 相关信息 复杂系统 搜索 网络模式 网络节点 空间限制 优惠政策 spatial distance search information action radius assortative mixing
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  • 1WANG Wei1,2,3 & ZENG GuoSun1,2,31Department of Computer Science & Technology, Tongji University, Shanghai 200092, China,2Tongji Branch, National Engineering & Technology Center of High Performance Computer, Shanghai 200092, China 3Key Loboratory of Embedded System and Service Computing, Ministry of Education, Shanghai 200092, China.Bayesian cognitive trust model based self-clustering algorithm for MANETs[J].Science China(Information Sciences),2010,53(3):494-505. 被引量:6

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