中文摘要：

运用社会网络分析方法,研究SNS社交网络结构中节点的结构位置及相互关系对信息传播的影响。以腾讯微博用户数据作为实验样本,运用Ucinet生成网络拓扑结构图,针对邻接矩阵数据进行节点度分析,测度节点度和节点在网络结构中的位置与信息传播的贡献大小之间的相关性,确定在不同规模网络中适于测度微博用户信息传播贡献的指标,从而有针对性地控制和引导不同类型的微博用户的信息发布和传播,达到网络舆情监控和管理的目的。

英文摘要：

In this article we applied the social network analysis to the research of the influence of the nodes＇ structural location and their interaction in the network on information dissemination.Choosing Tencent Micro-blog as the research target,we generated a sample of user data for the experiment afterwards.Using the Ucinet to generate network topology and conducting the node degree analysis based on adjacency matrix,we discussed the network structure of the community,measured the correlation between nodes＇ degree and their contribution to information dissemination,and then found the variable that best describes the dissemination of information in networks of different sizes.The findings of this paper enable monitoring and managing public opinion through targeted control and guidance over the releasing and distributing of information of different types of vital nodes.