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

dc.contributor.authorHossen, Md. Shahed
dc.contributor.authorNesa, Ezzatun
dc.date.accessioned2022-09-06T03:21:05Z
dc.date.available2022-09-06T03:21:05Z
dc.date.issued2022-01-02
dc.description.abstractGraph 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.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8612
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8612
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectGraph theory
dc.subjectAgriculture
dc.subjectNetwork marketing
dc.subjectSocial networks
dc.titleThe Application of Graph Theory for the Networking of Rural Agriculture Products Marketing
dc.typeArticle

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