The article presents a scientometric study dedicated to identifying the research front in the real estate sector. The proposed methodology using a bipartite graph model and forecasting future connections in the semantic network of publications in the real estate sector allows identifying the components of novelty and relevance of the research front. The forecast of the future connections of the constructed semantic network of the corpus of publications in the field of real estate identified two trends with signs of novelty and relevance - “departmental housing” and “behavioral aspects". However, it is important to note that the technique has its limitations and is not always ideal. In the context of this article, only one of the possible strategies of the research front is described, and the effectiveness of its application may vary depending on the specific subject area and scientific discipline. The results and conclusions of this study are one of the options and approaches to the analysis of novelty and relevance in the field of real estate. This technique has the potential for application in other subject areas and scientific disciplines as a search strategy of the research front. It allows you to identify the most promising and developing areas of research, and helps researchers navigate current topics and trends.