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基于聚类粒化的社团发现算法 被引量:7
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作者 赵姝 柯望 +1 位作者 陈洁 张燕平 《计算机应用》 CSCD 北大核心 2014年第10期2812-2815,2830,共5页
为了实现复杂网络社团发现算法的复杂度和精确度间的均衡,提出一种基于聚类粒化的社团发现算法(CGCDA),将网络粒化获得的粒子视为一个社团,粒化结果即为对网络的社团划分。首先,将网络中的每个节点视为基本粒,通过初始粒化操作实现对网... 为了实现复杂网络社团发现算法的复杂度和精确度间的均衡,提出一种基于聚类粒化的社团发现算法(CGCDA),将网络粒化获得的粒子视为一个社团,粒化结果即为对网络的社团划分。首先,将网络中的每个节点视为基本粒,通过初始粒化操作实现对网络的粒化;然后,针对获得的粒化集合中满足粒化系数的粒子进行聚类粒化操作,分层粒化直到不存在满足要求的粒子对;最后,将粒子对中的重叠节点视为孤立点,用邻居节点投票法把孤立节点归并到相应的粒子中,实现对复杂网络的社团划分。实验实现了Newman快速算法(NFA)、标号传播算法(LPA)和CGCDA。实验结果表明,CGCDA在四个基准数据集上可获得平均高于LPA 7.6%的模块度和低于NFA 96%的时间。CGCDA时间复杂度较低,获取的社团模块度较高,实现了社团发现时间和精确度的均衡,相比NFA、LPA总体性能更优。 展开更多
关键词 复杂网络 社团发现 粒化系数 聚类
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基于三支决策的非重叠社团划分 被引量:6
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作者 方莲娣 张燕平 +3 位作者 陈洁 王倩倩 刘峰 王刚 《智能系统学报》 CSCD 北大核心 2017年第3期293-300,共8页
基于三支决策理论,提出了一种基于三支决策的非重叠社团划分算法(N-TWD),该方法将初始聚类形成的重叠社团进行二次划分以形成最终的非重叠社团。N-TWD算法首先利用层次聚类形成有重叠的社团结构,将两个存在重叠的社团的左边社团中非重... 基于三支决策理论,提出了一种基于三支决策的非重叠社团划分算法(N-TWD),该方法将初始聚类形成的重叠社团进行二次划分以形成最终的非重叠社团。N-TWD算法首先利用层次聚类形成有重叠的社团结构,将两个存在重叠的社团的左边社团中非重叠部分定义为正域,右边社团中非重叠部分定义为负域,而两个社团的重叠部分定义为边界域。然后,针对边界域中的节点,分别计算边界域中节点与正域和负域的社团归属度B_P、B_N进行二次划分。对于二次划分后仍然留在边界域中的节点将利用投票的方法决定其最终归属,最终获得非重叠的社团结构。本文选取4个经典社交网络数据集和1个真实世界数据集对N-TWD算法进行了验证,相比较其他社团划分算法(GN、NFA、LPA、CACDA),N-TWD时间复杂度较低,总体获取的社团模块度值更高。 展开更多
关键词 复杂网络 社团划分 重叠节点 三支决策理论 粒化系数 层次聚类 社团结构 节点归属度
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An experimental comparison of water based alumina and silica nanofluids heat transfer in laminar flow regime 被引量:2
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作者 Azari Ahmad Kalbasi Mansour Derakhshandeh Masoud 《Journal of Central South University》 SCIE EI CAS 2013年第12期3582-3588,共7页
Experimental investigations were carried out to determine the Al2O3/water and SiO2/water nanofluids flowing through a circular tube. convective heat transfer performance and pressure drop of Measurements show that the... Experimental investigations were carried out to determine the Al2O3/water and SiO2/water nanofluids flowing through a circular tube. convective heat transfer performance and pressure drop of Measurements show that the addition of small amounts of nano-sized Al2O3 particles to the base fluid increases heat transfer coefficients considerably, while the result for the silica nanofluids contradicts with the alumina nanofluids and this leads to some interesting results. In the case of alumina nanofluids, an average increase of 16% in convective heat transfer coefficient is observed with an average penalty of 28% in pressure drop. Moreover, flow resistance increases significantly compared to the base fluid even at very low concentrations of nanofluids. Finally, measured heat transfer coefficients are compared with predicted ones from the correlation of Shah under the same conditions. 展开更多
关键词 CONVECTION forced convection heat transfer nano scale heat transfer
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Influence factors on thermal conductivity of ammonia-water nanofluids 被引量:4
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作者 杨柳 杜垲 张小松 《Journal of Central South University》 SCIE EI CAS 2012年第6期1622-1628,共7页
In order to investigate the mechanism of nanoparticles enhancing the heat and mass transfer of the ammonia-water absorption process,several types of binary nanofluids were prepared by mixing Al2O3 nanoparticles with p... In order to investigate the mechanism of nanoparticles enhancing the heat and mass transfer of the ammonia-water absorption process,several types of binary nanofluids were prepared by mixing Al2O3 nanoparticles with polyacrylic acid(PAA),TiO2 with polyethylene glycol(PEG 1000),and TiN,SiC,hydroxyapatite(noodle-like) with PEG 10000 to ammonia-water solution,respectively.The thermal conductivities were measured by using a KD2 Pro thermal properties analyzer.The influences of surfactant and ammonia on the dispersion stabilities of the binary nanofluids were investigated by the light absorbency ratio index methods.The results show that the type,content and size of nanoparticles,the temperature as well as the dispersion stability are the key parameters that affect the thermal conductivity of nanofluids.For the given nanoparticle material and the base fluid,the thermal conductivity ratio of the nanofluid to the ammonia-water liquid increases as the nanoparticle content and the temperature are increased,and the diameter of nanoparticle is decreased.Furthermore,the thermal conductivity ratio increases significantly by improving the stabilities of nanofluids,which is achieved by adding surfactants or performing the proper ammonia content in the fluid. 展开更多
关键词 binary nanofluids AMMONIA-WATER thermal conductivity size effect dispersion stability
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