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Activity patterns on random scale-free networks: global dynamics arising from local majority rules
Zhou, Haijun; Lipowsky, Reinhard; Zhou, HJ , Chinese Acad Sci, Inst Theoret Phys, Beijing 100080, Peoples R China
2007
发表期刊JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
ISSN1742-5468
期号1页码:-
摘要Activity or spin patterns on a random scale-free network are studied using mean field analysis and computer simulations. These activity patterns evolve in time according to local majority rule dynamics which is implemented using (i) parallel or synchronous updating and (ii) random sequential or asynchronous updating. Our mean field calculations predict that the relaxation processes of disordered activity patterns become much more effcient as the scaling exponent. of the scale-free degree distribution changes from gamma > 5/2 to gamma < 5/2. For. > 5/2, the corresponding decay times increase as ln(N) with increasing network size N whereas they are independent of N for. < 5/2. In order to check these mean field predictions, extensive simulations of the pattern dynamics have been performed using two different ensembles of random scale-free networks: (A) multi-networks as generated by the configuration method, which typically leads to many self-connections and multiple edges, and (B) simple networks without self-connections and multiple edges. We find that the mean field predictions are confirmed (i) for random sequential updating of multi-networks and (ii) for both parallel and random sequential updating of simple networks with gamma = 2.25 and 2.6. For gamma = 2.4, the data for the simple networks seem to be consistent with mean field theory as well, whereas we cannot draw a definite conclusion from the simulation data for the multi-networks. The latter diffculty can be understood in terms of an effective scaling exponent gamma(eff) = gamma(eff) (gamma, N) for multi-networks. This effective exponent is determined by removing all self-connections and multiple edges; it satisfies gamma(eff) = gamma and decreases towards gamma with increasing network size N. For gamma = 2.4, we find gamma(eff) greater than or similar to 5/2 up to N = 2(17).
部门归属Chinese Acad Sci, Inst Theoret Phys, Beijing 100080, Peoples R China; Max Planck Inst Colloids & Interfaces, D-14424 Potsdam, Germany
关键词Ferromagnetic Ising-model Complex Networks Stability Evolution Internet
学科领域Physics
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收录类别SCI
WOS记录号WOS:000243969300013
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被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.itp.ac.cn/handle/311006/5811
专题理论物理所1978-2010年知识产出
通讯作者Zhou, HJ , Chinese Acad Sci, Inst Theoret Phys, Beijing 100080, Peoples R China
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Zhou, Haijun,Lipowsky, Reinhard,Zhou, HJ , Chinese Acad Sci, Inst Theoret Phys, Beijing 100080, Peoples R China. Activity patterns on random scale-free networks: global dynamics arising from local majority rules[J]. JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT,2007(1):-.
APA Zhou, Haijun,Lipowsky, Reinhard,&Zhou, HJ , Chinese Acad Sci, Inst Theoret Phys, Beijing 100080, Peoples R China.(2007).Activity patterns on random scale-free networks: global dynamics arising from local majority rules.JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT(1),-.
MLA Zhou, Haijun,et al."Activity patterns on random scale-free networks: global dynamics arising from local majority rules".JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT .1(2007):-.
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