一种感知关系平衡性的子团获取算法

Aware relationship-balance of the subgroup acquisition algorithm

摘要:

为了解决社会化计算中基于感知关系平衡的子团获取问题,在关系平衡性的基础上,并根据2-mode网络环境的特点,提出了平衡云集子团和环境中个体的平衡云集系数,用于群体行为的分析．使用平衡云集性阈值的方法,转化了计算过程中的迭代寻优问题,并给出CABS-2mode算法用于子团的划分,CABC-2mode算法用于平衡云集性系数的获取．实验表明:算法在划分平衡云集子团的基础上,利用时间情境与社会情境融合的参数,获取到环境中个体的关系平衡性感知数值,并分析出群体中子团的平衡性强度波动过程和个体的行为过程．

Abstract:

To solve the problem of aware relationship-balance subgroup of context-acquisition of social computing, on the basis of the relationship-balance, and according to the characteristics of the 2-mode network environment, the relationship-balance gather subgroup and context entity of b alance gather coefficient is put forward and used for group behavior analysis. The balance gather of threshold method is used to transform iterative optimization problem in the computing process and put forward the CABS-2mode algorithm used in the group clustering. The CABC-2mode algorithm is used in the acquisition of balance gather coefficient. Balance experiments show that by using the algorithm based on relationship-balance subgroup and the time-context and social-context fusion parameters, the aware relationship-balance of the entity in the context value is accessed, and the subgroup of balance to the intensity fluctuation process and the entity of behavior process are analyzed.