The Application of Graph Theory for The Networking of Rural Agriculture Products Marketing

Graph theory has the potential to become a major subject of study shortly. However, graph theory research is still in its infancy. In order to build a network mesh, graph theory is quite useful. The use of graph theory to agriculture has the potential to be a game-changer. In addition to marketing networks, graph theory may be used to conduct new research in areas such as fraud detection and recommendation systems. Graph theory has been used by large corporations such as Facebook to create network networks among its clients. Facebook envisioned a network with vertices representing a group of friends. One advantage is that every one of them will be connected via their Facebook connections. And graph theory is highly useful in constructing such a network. We used graph theory to design a marketing network for a rural agricultural commodity in this article. To create this network, we used a variety of graph theory methodologies and algorithms, including the Breadth-First Search (BFS) algorithm. We'll walk you through this network visualization using Python's NetworkX module.