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

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dc.contributor.author Hossen, Md. Shahed
dc.contributor.author Nesa, Ezzatun
dc.date.accessioned 2022-09-06T03:21:05Z
dc.date.available 2022-09-06T03:21:05Z
dc.date.issued 2022-01-02
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8612
dc.description.abstract Graph theory could be a major field of study at the present time. But so far research on graph theory is at an early stage. Graph theory plays a very effective role in creating a network mesh. A groundbreaking success is possible with the use of graph theory in Agriculture. In addition to marketing networks, it is possible to do some new research with graph theory, including fraud detection, recommendation system, among others. Large organizations like Facebook have built network networks among their customers using graph theory. They considered a graph whose vertices represent a collection of friends. And one edge is Facebook friends who will connect each of them. And graph theory plays a very effective role in creating such a network. In this paper, we have created a marketing network for marketing a rural agricultural product using graph theory. To build this network we apply various models and algorithms of graph theory of which the BFS algorithm was one of them. We use Python's networkx library to show you through this network visualization. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Graph theory en_US
dc.subject Agriculture en_US
dc.subject Network marketing en_US
dc.subject Social networks en_US
dc.title The Application of Graph Theory for the Networking of Rural Agriculture Products Marketing en_US
dc.type Article en_US


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