中文摘要：

短消息服务(SMS ) 现在正在成为社会通讯的一个不可缺少的方法，并且活动垃圾的问题正在变得逐渐地严重。我们为垃圾消息察觉建议一条新奇途径。而不是集中于过滤的关键词或流动率的常规方法，我们的系统在更柔韧的结构下面基于采矿：与 SMS 构造的社会网络。包括静态的特征，动态特征和图特征，几个特征为以各种各样的方法在网络描述节点的活动被建议。试验性的结果操作了真实数据集证明我们的途径的有效性。

英文摘要：

Short message service （SMS） is now becoming an indispensable way of social communication, and the problem of mobile spam is getting increasingly serious. We propose a novel approach for spare messages detection. Instead of conventional methods that focus on keywords or flow rate filtering, our system is based on mining under a more robust structure： the social network constructed with SMS. Several features, including static features, dynamic features and graph features, are proposed for describing activities of nodes in the network in various ways. Experimental results operated on real dataset prove the validity of our approach.