移动社会网络信息传播模型构建与top-k节点挖掘  

Diffusion model and top-k nodes mining for mobile social networks

作　　者：史文国[1] 王瑜[2] 

机构地区：[1]中国科学院电子学研究所,北京100190 [2]北京大学信息科学技术学院智能科学系,北京100871

出　　处：《计算机应用研究》2012年第8期2830-2832,2844,共4页Application Research of Computers

摘　　要：在移动社会网络中挖掘出有影响力的top-k节点,对于移动运营商作出新产品或服务战略营销决策至关重要。针对移动社会网络的特点,提出一种充分考虑移动社会网络特点的信息传播模型以及基于该模型的top-k节点挖掘算法。实验证明,该方法能准确高效地定位移动社会网络中的活跃节点,这对于移动运营商作出营销决策起着至关重要的作用。The top-k nodes in those network systems often play critical roles in information exchanges and spreading. Thus finding those influential carriers in mobile social networks is very useful for mobile operators to make strategy, such as sales marketing etc. This paper proposed a top-k mining algorithm based on the information diffusion model. The experiments prove that the proposed algorithm can mine influential nodes efficiently and accurately in mobile social networks.

关 键 词：信息传播模型 移动社会网络 top-k节点挖掘算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]