[目的/意义]对新媒体环境下网络节点影响力进行研究，能够深入剖析信息传播规律，从而有助于采取针对性措施对信息传播进行合理控制。[方法/过程]基于信息熵理论构建新媒体环境下网络节点影响力模型，以微信公众号为例进行节点影响力测算，对节点直接影响力、间接影响力和综合影响力进行深入分析，最后运用Matlab软件对所构建模型进行仿真分析。[结果/结论]新媒体环境下网络节点综合影响力随着连接节点数量和节点间互动频率增加而增大，直接影响力和间接影响力也以不同幅度增长，但当间接影响力信息熵值超过100时，直接影响力成为影响节点综合影响力的主要因素。
[Purpose/significance] The research on the influence of network nodes in new media environment can deeply analyze the law of information dissemination, and thus help to take appropriate measures to control the information dissemination reasonably. [Method/process] This paper constructs the model of users' node influence in the new media environment based on information entropy theory, taking WeChat as an example to analyze the influence of network nodes. By using java programming method, the paper aims to calculate the numerical value of network nodes, including direct influence, indirect influence and total influence. And finally it use Matlab software to simulate the model. [Result/conclusion] Network nodes' total influence increases with the growth in the number of connections and the frequency of interactions between nodes. Direct influence and indirect influence are growing at a different rate, but the direct influence becomes the main factor affecting the comprehensive effect of nodes when the value of indirect influence is over 100.
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