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Application of varentropy as a measure of probabilistic uncertainty for complex networks

Application of varentropy as a measure of probabilistic uncertainty for complex networks
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摘要 Varentropy is used as a general measure of probabilistic uncertainty for a complex network, inspired by the first and second laws of thermodynamics, but not limited to the equilibrium system. By exploring the relationship between the varentropy of the scale free distribution and the exponent of power laws as well as network size, we get the optimal design of a scale-free network against random failures. The behaviors of varentropy and the Shannon entropy of double Pareto law degree distribution are analyzed to compare their usefulness. Our conclusion is that varentropy is suitable and reliable. Varentropy is used as a general measure of probabilistic uncertainty for a complex network, inspired by the first and second laws of thermodynamics, but not limited to the equilibrium system. By exploring the relationship between the varentropy of the scale free distribution and the exponent of power laws as well as network size, we get the optimal design of a scale-free network against random failures. The behaviors of varentropy and the Shannon entropy of double Pareto law degree distribution are analyzed to compare their usefulness. Our conclusion is that varentropy is suitable and reliable.
出处 《Chinese Science Bulletin》 SCIE EI CAS 2011年第34期3677-3682,共6页
基金 supported by the Chinese Ministry of Education (2008677010) the National Natural Science Foundation of China (10647125, 10635020, 10975057, 10975062) the Programme of Introducing Talents of Discipline to Universities (B08033)
关键词 概率不确定性 网络应用 Shannon熵 无标度网络 第二定律 平衡系统 幂律指数 网络规模 varentropy optimization double Pareto law distribution equilibrium network ensemble
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