Complex information dissemination process happens when emergency occurs. By citing relationship of certain topic, informa-tion propagators form a propagating network which has specific network structure characters and affects the speed and range of information propagation, and eventually affects the development trend. Taking H7N9 as an example, we formed the H7N9 network topology based on the related data collected by web crawlers, and systematically analyzed the basic characteristics and internal cluster structure of the propaga-ting network according to its adjacency matrix and the cluster structure discovery algorithm based on information entropy. Empirical study shows that the modularity of network is significant, and the largest and the second largest cluster in network grow as approximately S-line as time goes by. This result is very important in effective control of the emergence and dissemination of network public opinion.%突发事件的发生伴随着海量的信息传播过程，信息传播者通过相关话题的引用关系形成一个复杂的信息传播网络，且具有一定的网络拓扑结构特性，影响着信息传播的速度和范围，进而影响事件发展态势。以H7 N9事件为例，通过网络爬虫采集相关数据，生成“H7 N9”信息传播网络拓扑结构图，并根据其邻接矩阵，运用基于熵的簇结构发现算法，对其传播网络的基本特性、内部簇结构特性进行系统分析。实证研究表明该信息传播网络的模块性显著，且网络中最大簇和次大簇随时间演化近似呈S型增长趋势，这对有效控制网络舆情的产生及扩散具有重要的意义。
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