Nowadays, the dissemination methods and efficiency of digital works have attracted much attention. Based on the HPD (Hybrid Propagation Dynamics) propagation model, this study constructs an open digital works transmission system called ODWTS (Open Digital Works Transmitting System), aiming to deeply analyze the propagation dynamics of digital works in cyberspace. In addition, the study utilizes the state data of ODWTS to establish the corresponding HPD curve distribution graph, which can accurately and reasonably describe the dissemination process of digital works in the real environment. Finally, in combination with the DDRM (Digital Data Resource Management) scheme, user interest-based recommendation (B1) shows a significant increase in the incremental exposure after 24 h and the total exposure after 72 h compared to heat-based recommendation (A1), which proves the effectiveness of content recommendation based on user interest. This study facilitates the prediction of the dissemination process of digital works and the range of dissemination they may reach.