Paper Title

Application of Graph Theory in real Life

Authors

Jita Dutta

Keywords

Social Network, Network design, Data Mining, Data routing, Compiler Optimization.

Abstract

Graph theory, a branch of mathematics focused on the study of graphs, has profound applications across various domains in real life. This paper examines how graph theoretical concepts are utilized to address complex problems in diverse fields such as computer science, transportation, social networks, biology, and logistics. In computer science, graph theory aids in network design, data routing, and database management through advanced algorithms. Transportation and logistics benefit from route optimization and traffic flow analysis. Social networks leverage graph models to understand relationships and enhance recommendation systems. In biology and medicine, graph theory is employed to model biological networks and track disease spread. Additionally, graph theory plays a crucial role in communication systems and operations research. By exploring these applications, this paper underscores the versatility and significance of graph theory in solving practical problems and improving system efficiency in various real-world contexts.

How To Cite

"Application of Graph Theory in real Life ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.a74-a80, October-2024, Available :https://ijnrd.org/papers/IJNRD2410012.pdf

Issue

Volume 9 Issue 10, October-2024

Pages : a74-a80

Other Publication Details

Paper Reg. ID: IJNRD_300953

Published Paper Id: IJNRD2410012

Downloads: 00069

Research Area: Science and Technology

Country: -, Assam, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410012

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410012

DOI: http://doi.one/10.1729/Journal.41809

About Publisher

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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