Description: A recursive network is a type of data structure that is defined through a process of repetition or recursion. In the context of graph theory, it refers to a network where the nodes and the connections between them are constructed in such a way that each part of the network can be described in terms of itself. This means that the definition of the network includes references to sub-networks or to the same network at different levels of complexity. Recursive networks are useful for modeling complex systems where the relationships between elements are intrinsically hierarchical or where patterns repeat at different scales. A key feature of these networks is their ability to simplify the representation of complex structures, allowing for more efficient analysis and better understanding of interactions within the system. Additionally, recursion in networks can facilitate the implementation of algorithms that operate on these structures, as the same rules can be applied at different levels of the network. In summary, recursive networks are a powerful tool in graph theory, providing a framework for understanding and analyzing systems that exhibit patterns of repetition and hierarchy.
