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In the big data set around the world, cultural communication in a single-layer social network cannot handle data in a two-tier social network. Combined with the characteristics of cultural communication, a two-layer coupled social network model for predicting cultural information dissemination is proposed. According to the law of big data set in the process of cultural communication, the ethical review and theoretical construction of cultural network communication was carried out. Combining the online two-layer coupling network and the CRF word segmentation algorithm, the known link relationship is obtained, and the feature attributes of the network are extracted. This paper mainly completed the construction of online social network link prediction. Starting from the topological structure of two-layer coupled social network, based on the association rules to analyze the data generated by information dissemination between two-layer coupled network nodes, a two-layer coupled network information propagation law model is proposed. The prediction and construction of the cultural information communication link in the online social network is completed, the process of data opening and sharing is accelerated, and the privacy and copyright issues in the process of cultural communication are solved. The influence of immune node and node self-healing time on the cultural information dissemination process of two-layer coupled social network is discussed. By comparing the information dissemination in social networks and the information dissemination in two-layer coupled social networks, the control of certain lyric cultures can be effectively prevented. The experimental results show that it has reference value.

Exploring the cultural media under the Internet of Things is not only an inevitable need to understand the cultural landscape of the Internet of Things era, but also an extension of the people themselves in the new medium. Understanding the Internet of Things as a new paradigm of media organization and production, it should clarify the technology and body in the Internet of Things, so it can clarify the objective for a relationship with the media. The Internet of Things solves the virtual interdimensional problem of information dissemination and social interaction, opening up a new vision of cultural communication. However, the Internet of Things technology makes the ideological and cultural communication channels more diverse and more complex. How to improve the efficiency of cultural media is the hotspot of current research. Therefore, this article takes cultural media as the research object and adopts the Internet of Things technology to construct the IoT culture media efficiency optimization model of the global numerical ant colony algorithm. Firstly, the population space and belief space of the cultural algorithm are redesigned by using the new bi-level evolutionary mechanism. Then, the maximum and minimum ant colony system is used to construct the population space, and the current optimal solution is improved by the 3-opt cross-transform operation in the belief space. Finally, the simulation experiments are set up to verify the effectiveness of the proposed algorithm. The experimental results show that the global numerical ant colony algorithm based on the Internet of Things is better than the traditional ant colony algorithm and the cultural ant colony algorithm, and the convergence speed is faster, which further improves the efficiency of the cultural media.