A new eight-dimensional Lie superalgebra and two corresponding hierarchies of evolution equations

A new eight-dimensional Lie superalgebra is constructed and two isospectral problems with six potentials are designed. Corresponding hierarchies of nonlinear evolution equations, as well as super-AKNS and super-Levi, are derived. Their super-Hamiltonian structures are established by making use of the supertrace identity, and they are integrable in the sense of Liouville.     

一个新的可积方程族及其Hamiltonian结构

基于一个带有三个位势函数新的等谱问题,本文得到了一个带有任意函数的新的Lax可积族.当位势选取特殊函数时,得到了著名的Schrodinger方程,广义MkdV方程,热传导方程和耦合的Burgers方程及其Hamiltonian结构,并证明方程是Liouville可积的.     

Painlev property of the modified C-KdV equation and its exact solutions

In this paper,the Painlev’e properties of the modified C-KdV equation are verified by using the W-K algorithm.Then some exact soliton solutions are obtained by applying the standard truncated expansion method and the nonstandard truncated expansion method with the help of Maple software,respectively.     

A New Lie Algebra and Its Related Liouville Integrable Hierarchies

A new Lie algebra G and its two types of loop algebras G1 and G2 are constructed. Basing on G1 and G2, two different isospectral problems are designed, furthermore, two Liouville integrable soliton hierarchies are obtained respectively under the framework of zero curvature equation, which is derived from the compatibility of the isospectral problems expressed by Hirota operators. At the same time, we obtain the Hamiltonian structure of the first hierarchy and the bi-Hamiltonian structure of the second one with the help of the quadratic-form identity.     

基于Erdos1合著网络和论文引用网络的复杂网络节点特征研究

首先,研究了Erdos1合著网络的特征属性,一方面使用节点的度、介数、接近中心性来描述Erdos1合著网络节点重要性,另一方面使用特征向量中心性和本文提出的高阶度参数来描述Erdos1合著网络节点影响力;然后,分别用逼近理想解的排序算法（TOPSIS算法）和主成份分析（PCA）对节点重要性和影响力排序;最后,利用修改的网页排名算法（PageRank算法）讨论了网络科学原创性论文中最具影响力的论文。     

人力资源网络模型及其动力学分析在企业内部升迁和外部招聘中的应用

首先讨论了ICM公司职位分配到职员办公室的原则,并讨论了在这些原则下一个合理分配方案的合作网络和监管网络构成的混合网络模型;然后,利用该模型的节点属性、公司职员属性及两者之间的关系建立了后档案矩阵,讨论了公司职员属性函数,在此基础上研究了包含职员离职算法、内部升迁算法和外部招聘算法的动力学分析;最后,在混合网络模型中利用算法进行了动力学仿真。     

社会信息网络结构和规模演变研究

利用复杂网络及网络节点和边的属性,研究了100多年来社会信息网络结构和规模的演变及信息传播的变迁。首先讨论了社会信息网络发展中出现的增长性、突变性、集群效应、马太效应等特征,以及不同阶段的网络拓扑结构;然后研究了不同阶段的网络信息容量,再利用信息在网络中的传播规律,研究了社会信息网络和民众的兴趣是如何相互影响的,最后展望了社会信息网络可能的发展方向。