Abstract: With the rapid development of society, prefabricated buildings are more in line with the sustainable development concept of energy saving and environmental protection, and the industrialization trend of the construction industry has become more and more obvious. The high cost of prefabricated construction has always been a pain point of its existence. In order to analyze the domestic and foreign hotspots and trends of the factors affecting the cost of prefabricated buildings, this paper uses the research method of visual analysis combined with the CiteSpace data processing software to study the cost control of prefabricated buildings at home and abroad for the high frequency and high centrality of keywords. Statistical analysis of data to generate corresponding knowledge graphs. Through social network analysis, we can get the point centrality, intermediate centrality and proximity centrality of keywords in the network, as well as the close relationship between keywords.