Researchers are exploring methods to analyze and understand complex networks, including detecting low dimensionality in real networks. Various approaches are being studied, such as topological data analysis, deep learning techniques, and hyperbolic embeddings. These methods aim to improve anomaly detection, network stability, and understanding of complex network structures.