Topology estimation is a research area within computer science and network engineering that focuses on the development of algorithms and methods for accurately determining the structure or layout of a network. This includes identifying the connectivity of network nodes, the paths between nodes, and the overall network topology. Topology estimation is important for understanding and optimizing network performance, as well as for detecting and analyzing potential security vulnerabilities or failures within a network. Research in this area often involves the use of statistical analysis, machine learning techniques, and network measurement tools to infer the underlying topology of complex networks.