Multifunctional Space Transformation Design in Multidimensional Interior Design Based on Citespace Knowledge Mapping

In this paper, based on Citespace software and knowledge graph theory and method, a knowledge graph construction algorithm and word frequency detection algorithm for multifunctional space transformation design are proposed. In the knowledge graph construction algorithm, based on the theory of co-citation analysis and path-finding network algorithm, the TF-IDF weighting algorithm is used to extract the clustering labels, and the intermediary centrality algorithm is used to determine the key points in the graph network. And in the word frequency detection algorithm, bulk information detection algorithm is used to detect the highlighted words in the published literature. In the knowledge graph analysis of multifunctional space conversion design, the number of literature issued during 2014-2023 shows a fluctuating trend of first increase and then decrease, and the research is mainly concentrated in the discipline of building science and engineering, with the number of literature being 326 articles. The research institution Nanjing Forestry University has the highest number of publications, 62, while Kunming University of Science and Technology is the structure with the highest centrality, with a centrality of 0.2. The key with the highest frequency of occurrence in the literature is interior design, up to 286 times, while the highest intermediary centrality is spatial design (0.72). Above all, this paper has important impetus for the innovation of the multi-functional space transformation design in the technology and method.