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抽样对复杂网络生长机制的影响 被引量:1
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作者 杨波 陈影 《上海交通大学学报》 EI CAS CSCD 北大核心 2013年第3期479-483,共5页
运用基于机器学习理论开发的网络机制辨识方法,对不同抽样方案得到的抽样网络生长机制进行识别,将结果与完全网络比较,以分析抽样对网络机制的影响.研究表明,不同抽样方案对网络生长机制具有不可忽视的影响.在抽样绩效方面,中枢链式抽... 运用基于机器学习理论开发的网络机制辨识方法,对不同抽样方案得到的抽样网络生长机制进行识别,将结果与完全网络比较,以分析抽样对网络机制的影响.研究表明,不同抽样方案对网络生长机制具有不可忽视的影响.在抽样绩效方面,中枢链式抽样具有较好的网络机制保持能力;而对比网络结构特征与网络机制,中枢抽样和链式抽样对网络机制的影响更显著.此外,各抽样方案对网络机制的影响随网络类型的不同有一定差异,这表明在实践中有必要根据网络类型选择恰当的抽样方法. 展开更多
关键词 系统科学 复杂网络 抽样 网络生长机制
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互联电力网络复杂性研究的若干新进展 被引量:8
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作者 梅生伟 倪向萍 《长沙理工大学学报(自然科学版)》 CAS 2008年第2期1-8,共8页
以复杂网络理论为先导,综述了清华大学电机系近两年的研究成果.针对静态电力网络,提出了分解与协调算法和输电线路脆弱度评估算法;针对动态电力网络,提出了简化与等值算法和同步化控制算法.同时提出了网络生长与演化模型,研究了电力网... 以复杂网络理论为先导,综述了清华大学电机系近两年的研究成果.针对静态电力网络,提出了分解与协调算法和输电线路脆弱度评估算法;针对动态电力网络,提出了简化与等值算法和同步化控制算法.同时提出了网络生长与演化模型,研究了电力网络的生长机制问题. 展开更多
关键词 复杂电力网络 分解与协调 脆弱性评估 简化与等值 同步化控制 网络生长与演化机制
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A novel weighted evolving network model based on clique overlapping growth
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作者 杨旭华 王波 孙豹 《Journal of Central South University》 SCIE EI CAS 2010年第4期830-835,共6页
A novel weighted evolving network model based on the clique overlapping growth was proposed.The model shows different network characteristics under two different selection mechanisms that are preferential selection an... A novel weighted evolving network model based on the clique overlapping growth was proposed.The model shows different network characteristics under two different selection mechanisms that are preferential selection and random selection.On the basis of mean-field theory,this model under the two different selection mechanisms was analyzed.The analytic equations of distributions of the number of cliques that a vertex joins and the vertex strength of the model were given.It is proved that both distributions follow the scale-free power-law distribution in preferential selection mechanism and the exponential distribution in random selection mechanism,respectively.The analytic expressions of exponents of corresponding distributions were obtained.The agreement between the simulations and analytical results indicates the validity of the theoretical analysis.Finally,three real transport bus networks(BTNs) of Beijing,Shanghai and Hangzhou in China were studied.By analyzing their network properties,it is discovered that these real BTNs belong to a kind of weighted evolving network model with clique overlapping growth and random selection mechanism that was proposed in this context. 展开更多
关键词 weighted network clique overlapping mean-field theory bus transport network
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