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Download Practical Graph Mining with R by Samatova, Nagiza F.; Hendrix, William; Jenkins, John; PDF

By Samatova, Nagiza F.; Hendrix, William; Jenkins, John; Padmanabhan, Kanchana; Chakraborty, Arpan

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Why Use R? . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Expansive Capabilities . . . . . . . . . . . . . . . . . 2 Proactive Community . . . . . . . . . . . . . . . . . . Common R functions . . . . . . . . . . . . . . . . . . . . . . 1 Data Manipulation . . . . . . . . . . . . . . . . . . . 2 Calculation . . . . . . . . . . .

1 What Is a Graph? 7 9 10 11 12 12 13 13 15 15 16 16 17 18 19 20 21 21 22 23 23 When most people hear the word “graph,” they think of an image with information plotted on an x and y axis. In mathematics and computer science, however, a graph is something quite different. A graph is a theoretical construct composed of points (called vertices) connected by lines (called edges). The concept is very simple, but graphs can have many interesting and important properties. 9 10 Practical Graph Mining with R Graphs represent structured data.

3 Mac OSX Systems . . . . . . . . . . . . . . . . . . . . Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 What Is R? 50 50 50 51 R is a language for statistical computing and graphics. , linear modeling, graph plotting, basic statistics). However, the beauty of R lies in its almost infinite expandability and versatility. Approximately 2,500 (and counting) packages have been developed for R by the active R community.

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