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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
exaly   +2 more sources

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

Graph Theory and Applications

Physics Bulletin, 1982
H N V Temperley 1981 Chichester: Ellis Horwood 130 pp price £15 Euler laid the foundations of graph theory in 1736 when he proved the impossibility of crossing the seven bridges of Konigsberg exactly once. Since then the theory has developed in many directions and found numerous applications.
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Applications of graph theory

PAMM, 2007
AbstractGraph theory is rapidly moving into the mainstream of mathematics mainly because of its applications in diverse fields. In this paper, we discuss certain ways of applying graph theoretical techniques to solve various problems and present the review of some of the applications. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
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A survey of graph grammars: theory and applications

Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems, 2003
Graph grammars provide a useful formalism for describing structural manipulations of multidimensional data. The authors review briefly theoretical aspects of graph grammars, particularly of the embedding problem, and then summarize graph-grammar applications.
Hoda Fahmy, Dorothea Blostein
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An application of graph theory to group theory

Physica A: Statistical Mechanics and its Applications, 1982
Abstract An application of graph theory to group theory is presented. A problem of finding the eigenvectors for certain types of matrices is considered.
H. Nencka-Ficek, T. Lulek
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An application of rough sets to graph theory

Information Sciences, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jinkun Chen, Jinjin Li 0001
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Application: Graph Theory

2015
Graph theory is a branch of combinatorics that specializes in modeling relationships between objects. For instance, the objects may be individuals and they are related if they are acquainted. As a second example, suppose that our objects are airports. We would say that two airports are related if there is a direct flight from one to the other.
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