mtcars_edge_list: Edge list constructed from 'mtcars' dataset.

In ayushnoori/metapaths: Meta-Path-Based Network Similarity

Edge list constructed from mtcars dataset.

Description

This example edge list was constructed from the mtcars dataset using the example code below. The original data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973-74 models).

Usage

mtcars_edge_list

Format

A data.table with 100 rows (representing 100 edges) and 4 columns:

Origin

The origin node of the edge in the graph. In an undirected graph, the distinction between Origin and Destination is arbitrary.

Destination

The destination node of the edge in the graph.

OriginType

The type of the origin node.

DestinationType

The type of the destination node.

...

Examples

library(data.table)
library(magrittr)
library(igraph)
set.seed(1234)

# subset data
data(mtcars)
mtcars  = mtcars %>%
  as.data.table(keep.rownames = "Car") %>%
  .[, Gear := factor(gear, levels = 3:5, labels = c("Three", "Four", "Five"))] %>%
  .[, .(Car, Gear)] %>%
  setkey(Car)

# create edge list
mtcars_edge_list = data.table(
  Origin = sample(mtcars[, Car], 100, T),
  Destination = sample(mtcars[, Car], 100, T)) %>%
  .[, OriginType := mtcars[.$Origin, Gear]] %>%
  .[, DestinationType := mtcars[.$Destination, Gear]]

# inspect edge list
head(mtcars_edge_list)

# plot graph
mtcars_graph = graph.data.frame(mtcars_edge_list, vertices = mtcars, directed = T)
mtcars_col = factor(V(mtcars_graph)$Gear)
plot(mtcars_graph, vertex.size = 15, vertex.label = NA,
     edge.arrow.size = .25, vertex.color = mtcars_col)

ayushnoori/metapaths documentation built on March 19, 2023, 7:35 p.m.