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Applications of Graph Theory in Computer Science

2011 Third International Conference on Computational Intelligence, Communication Systems and Networks, 2011
Graphs are among the most ubiquitous models of both natural and human-made structures. They can be used to model many types of relations and process dynamics in computer science, physical, biological and social systems. Many problems of practical interest can be represented by graphs. In general graphs theory has a wide range of applications in diverse
Ferozuddin Riaz, Khidir M. Ali
exaly   +2 more sources

Some applications of graph theory to clustering

Psychometrika, 1974
This paper attempts to review and expand upon the relationship between graph theory and the clustering of a set of objects. Several graphtheoretic criteria are proposed for use within a general clustering paradigm as a means of developing procedures “in between” the extremes of complete-link and single-link hierarchical partitioning; these same ideas ...
Lawrence J Hubert, Hubert Lawrence J
exaly   +2 more sources

An approach to neutrosophic graph theory with applications

Soft Computing, 2017
Graph theory that can be used to describe the relationships among several individuals has numerous applications in diverse fields such as modern sciences and technology, database theory, data mining, neural networks, expert systems, cluster analysis, control theory, and image capturing. As a generalization of fuzzy set (FS) and intuitionistic fuzzy set
Ridvan Şahin
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Applications of graph theory in computer systems

International Journal of Computer & Information Sciences, 1976
Many problem situations in computer systems can be analyzed using models based on directed graphs. The vertices of the graph represent states of the system and the directed arcs represent the transitions between these states. This paper is in two parts.
exaly   +2 more sources

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