Due to the complexity and dynamic characteristics of data, traditional methods often fail in presenting information networks clearly. This article introduces a framework and algorithm for effective visualization of information networks based on data analysis. First, large amounts of network data are collected and preprocessed, including node and edge attributes. Second, a clustering algorithm is applied to reduce the graph complexity. In this regard, a force-directed layout algorithm is used to ensure intuitive arrangement of nodes. Interaction techniques are adopted to improve user experience and provide dynamic data representation. The framework realizes a rendering time as short as 69 seconds on these large datasets. The visualization framework is thus a reliable information network analysis tool that supports thorough insights and decision-making on complex networks.