Analysis of the model of integration of multicultural media in the network’s space of public opinion

Abstract

When the traditional Meta database model is used to integrate multicultural media in the network’s space of public opinion, the performance of cooperative processing of distributed heterogeneous network data is poor, the logic of integration of multicultural media information is poor, the integration time is long, and the accuracy is low. This article proposes a multicultural media integration model based on multi-agent collaboration, which combines the life cycle of multicultural media models in the network’s space of public opinion. In distributed heterogeneous network spaces of public opinion, data is obtained from the distributed multicultural media information source, transferred to the multi-agent, and the collaboration among the agents is constructed. The multicultural media integration model provides the work flow and the standard principle of the model, and shapes the integrated model’s architecture including the data layer, the middle layer, and the expression layer, so as to achieve the intelligent integration of the multicultural media information. The experimental results show that the proposed model has high practicability, high integration efficiency and accuracy, and can enhance the penetration of multicultural media brands.

Agent-based model: A method worthy of promotion in Library and Information Science

“…ABM, as a simulation method, has special advantages, when real data cannot be obtained. For example, Wang and Dong [15] based on the multicultural perspective, simulated the network public opinion space. ABM can also simulate the variables that are difficult to measure, such as culture and public opinion.…”