中文摘要：

根据在线社交网络信息传播特点和目前社交网络传播模型研究中存在的问题，本文定义了网络用户之间的相互影响力函数，在此基础上提出了一种基于用户相对权重的社交网络信息传播模型，并对网络中的传播路径及传播过程进行了分析，讨论了不同路径的信息传播影响力．为验证模型的有效性，将传统的SIR模型和本文模型在六类不同网络拓扑下进行了仿真实验．仿真结果表明，两类模型在均匀网络中没有明显差异，但在非均匀网络中本文模型更能体现真实网络特点，实验同时验证了节点的地位影响着信息的传播，并且发现英文社交平台Twitter和中文社交平台新浪微博在拓扑结构上具备一定相似性．

英文摘要：

In this paper, we first introduce a mutual influence function among network nodes based on characteristics of information spreading in online social network. Then we put forward an information spreading model based on relative weight, analyze the propagation path and process of the network, and discuss the influence on different paths. Finally, the simulation experiments of the traditional SIR model and the model in this paper are conducted with six different network topologies. Results show that the two models have no significant difference in homogeneous networks, but there are significant differences in inhomogeneous networks. This result shows that the information spreading is influenced by the status of spreading nodes, and also shows that the real networks like Twitter and Sina Microblog have certain similarity in topological structure.