'bipartite graph for the yelp dataset rstudio
I am trying to produce a bipartite graph for a yelp sample dataset. If the user reviews one restaurant, one edge will connect this user and the restaurant, that is, reviewed == 1
, otherwise, reviewed == 0
. How can I draw a bipartite graph based on the fact of whether users review the restaurants or not? x represents users; y represents restaurants. There are edges for the pairs (u40, i7), (u40, i9), (u8, i12)
.
x <- c('u44', 'u44', 'u44', 'u40', 'u40', 'u8')
y <- c('i13', 'i1', 'i9', 'i7', 'i9', 'i12')
reviewed <- c(0, 0, 0, 1, 1, 1)
data.frame(cbind(x, y, reviewed))
x y reviewed
1 u44 i13 0
2 u44 i1 0
3 u44 i9 0
4 u40 i7 1
5 u40 i9 1
6 u8 i12 1
Update
Thanks for the help from G5W but I have another question now. The graph has some overlaps and how can I improve my code to make it more readable? Here is my entire dataset: https://drive.google.com/file/d/1rcURZBCOANrKQ4Kl_BmYW26LehrE0wye/view?usp=sharing
My code is shown below.
# Draw a bipartite graph
library(igraph)
g = graph_from_data_frame(data, directed=F)
g = delete_edges(g, which(data$reviewed == 0))
## set up vertex types to support layout as bipartite
V(g)$type = T
V(g)[unique(data$y)]$type = F
V(g)$type
plot(g, layout=layout_as_bipartite)
The lastest Update
# Draw a bipartite graph
library(igraph)
data <- dput(data)
g = graph_from_data_frame(data, directed=F)
g = delete_edges(g, which(data$reviewed == 0))
## set up vertex types to support layout as bipartite
V(g)$type = T
V(g)[unique(data$y)]$type = F
V(g)$type
plot(g, layout=layout_as_bipartite)
Solution 1:[1]
I will do this with igraph
. It is fairly easy to make the graph connecting all of your user-restaurant pairs, then delete the edges for which reviewed = 0
. To get a nice plot, you will want to lay out the vertices as a bipartite graph.
library(igraph)
DF = data.frame(cbind(x, y, reviewed))
g = graph_from_data_frame(DF, directed=F)
g = delete_edges(g, which(DF$reviewed == 0))
## set up vertex types to support layout as bipartite
V(g)$type = T
V(g)[unique(DF$y)]$type = F
V(g)$type
plot(g, layout=layout_as_bipartite)
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
Solution | Source |
---|---|
Solution 1 | G5W |