Description: An aggregated graph is a data structure that combines multiple graphs into a single representation, allowing for more efficient visualization and analysis of complex relationships. In this type of graph, the nodes and edges of individual graphs merge, creating a new graph that encapsulates the information from all of them. This technique is particularly useful in situations where there is a need to simplify the representation of interconnected data, facilitating the analysis and interpretation of patterns and relationships. Aggregated graphs can include additional attributes that describe the characteristics of nodes and edges, further enriching the information contained within the structure. Moreover, they allow for faster search and analysis operations by reducing complexity through the elimination of redundancies and data consolidation. In summary, aggregated graphs are powerful tools in the field of graph theory and data science, providing an efficient way to represent and analyze large volumes of interrelated information.
