M. Rodriguez, and P. Neubauer. Bulletin of the American Society for Information Science and Technology, 36 (6):
35-41(August 2010)
Abstract
A graph is a data structure composed of dots (i.e. vertices) and lines (i.e. edges). The dots and lines of a graph can be organized into intricate arrangements. The ability for a graph to denote objects and their relationships to one another allow for a surprisingly large number of things to be modeled as a graph. From the dependencies that link software packages to the wood beams that provide the framing to a house, most anything has a corresponding graph representation. However, just because it is possible to represent something as a graph does not necessarily mean that its graph representation will be useful. If a modeler can leverage the plethora of tools and algorithms that store and process graphs, then such a mapping is worthwhile. This article explores the world of graphs in computing and exposes situations in which graphical models are beneficial.
%0 Journal Article
%1 Rodriguez2010
%A Rodriguez, Marko A.
%A Neubauer, Peter
%D 2010
%J Bulletin of the American Society for Information Science and Technology
%K graphdatabase graphs
%N 6
%P 35-41
%T Constructions from Dots and Lines
%U http://arxiv.org/abs/1006.2361
%V 36
%X A graph is a data structure composed of dots (i.e. vertices) and lines (i.e. edges). The dots and lines of a graph can be organized into intricate arrangements. The ability for a graph to denote objects and their relationships to one another allow for a surprisingly large number of things to be modeled as a graph. From the dependencies that link software packages to the wood beams that provide the framing to a house, most anything has a corresponding graph representation. However, just because it is possible to represent something as a graph does not necessarily mean that its graph representation will be useful. If a modeler can leverage the plethora of tools and algorithms that store and process graphs, then such a mapping is worthwhile. This article explores the world of graphs in computing and exposes situations in which graphical models are beneficial.
@article{Rodriguez2010,
abstract = {A graph is a data structure composed of dots (i.e. vertices) and lines (i.e. edges). The dots and lines of a graph can be organized into intricate arrangements. The ability for a graph to denote objects and their relationships to one another allow for a surprisingly large number of things to be modeled as a graph. From the dependencies that link software packages to the wood beams that provide the framing to a house, most anything has a corresponding graph representation. However, just because it is possible to represent something as a graph does not necessarily mean that its graph representation will be useful. If a modeler can leverage the plethora of tools and algorithms that store and process graphs, then such a mapping is worthwhile. This article explores the world of graphs in computing and exposes situations in which graphical models are beneficial.},
added-at = {2010-10-04T11:45:30.000+0200},
author = {Rodriguez, Marko A. and Neubauer, Peter},
biburl = {https://www.bibsonomy.org/bibtex/208f41ea0a6a2da10f3f3d3cb61327f66/voj},
interhash = {1e8f4290718c875a8d0d4d5671f729f4},
intrahash = {08f41ea0a6a2da10f3f3d3cb61327f66},
journal = {Bulletin of the American Society for Information Science and Technology},
keywords = {graphdatabase graphs},
month = {8},
number = 6,
pages = {35-41},
timestamp = {2010-10-04T11:45:30.000+0200},
title = {Constructions from Dots and Lines},
url = {http://arxiv.org/abs/1006.2361},
volume = 36,
year = 2010
}