Description: A bipartite network is a type of network structure where nodes can be divided into two distinct sets, such that there are no connections between nodes of the same set. This type of network is fundamental in graph theory and is used to model relationships between two different groups of entities. For example, in a bipartite network, one set could represent users of a service and the other set the available products, where connections indicate which users have interacted with which products. The main characteristics of bipartite networks include their ability to represent complex relationships clearly and their utility in solving matching and optimization problems. Additionally, these networks can be directed or undirected, depending on whether the connections have a specific direction. The relevance of bipartite networks lies in their application in various fields such as information theory, biology, sociology, and computer science, where they help to understand and analyze interactions between different types of entities. Their study enables the development of efficient algorithms for pattern searching and resource optimization in complex systems.
