igraphdata | Data sets for the igraph R package
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Data sets for the igraph R package
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QUESTION
normaly when I want to determine the number of vertices for a graph I only need to write in my script :
...ANSWER
Answered 2022-Jan-18 at 23:45I think this may do what you want. First, assign the community membership to the nodes:
QUESTION
Using R, I created and plotted a graph:
...ANSWER
Answered 2020-Nov-25 at 08:58For the binary case, where the question is whether a connection between communities exists or not, you could do the following. First, contract the communities based on their membership (belonging to "a", "b", or "c").
QUESTION
I am wanting to plot graph clusters that I define by myself. I am using the simplified undirected enron data.
...ANSWER
Answered 2020-Oct-31 at 13:04Yes. Use your coGrph to create a layout, but then plot the original graph.
Continuing your "second trial"
QUESTION
The dataset is included the network matrix and attribute data frame. Network dataset has 3 data set itself, that I just want to work on PrinFull dataset and also just PRIN attribute data. my data is uploaded in this two link below. I added all attribute on my data set.
https://drive.google.com/file/d/1MZCdeAZF0joIQLwVeoVXmKpf7r8IJ2wq/view?usp=sharing https://drive.google.com/file/d/1I96BAUo8TjJMWCWpn_SIhp54snfZ0Bd5/view?usp=sharing I want to plot my community detection algorithm, the code is as below , but my plot is messy and not understandable. how can I plot in a better way? can anyone help me?
...ANSWER
Answered 2020-Jun-26 at 15:24Nothing that you can do will make it easy to see 2839 nodes with 9379 links. There just isn't that much space on the screen. Nevertheless, I have some suggestions that may provide more insight than just passing the graph into plot.
First, a quick glance at your plot reveals that this graph is not composed of a single connected component.
QUESTION
I have the graph data set named "WOS_graph", it is quite big data set with 5291 , I plotted the data , but in the plot it does not seems 5291 vertices, it shows less, can some one help me to plot correctly?
Also the data set can be found here: https://drive.google.com/file/d/1I96BAUo8TjJMWCWpn_SIhp54snfZ0Bd5/view?usp=sharing
...ANSWER
Answered 2020-Jul-03 at 14:29Good observation! Nothing like 5291 vertices are visible, but with a little bit of work, you can track down what is going on.
First, I want to adjust your layout slightly. You created your layout with
QUESTION
I have a data frame file like below for attribute , and also I have a matrix of network like below, I attached attribute properly to the data. but now 1- I want the most 30 authors that are most represented in term of degree, I know that I should use subgraph, but I am not sure my code is correct or not
2- I want to authors with most citation, because I want to plot them .
can someone help me?
...ANSWER
Answered 2020-Jun-24 at 07:52Given that your example is not reproducible, the assumption is that you have an igraph
object g
, with a vertex attribute citations
(see data below). Also, the top 10 nodes are selected instead of 30. You can easily change that.
You can simply pass in a logical vector to the induced_subgraph
command, which is used to subset the nodes. You can get such a vector by combining rank
, which also helps you dealing with possible ties in the rank, and <
. It is a bit unclear what your preferences for ties are, I assume that if two or more observations match rank 10 then you keep both of them. The alternative would be to keep the first or the last, or to select one at random (check out ties.method
for rank
).
QUESTION
I am using the igraph
and ggraph
package to plot an arc diagram. I am having trouble with the geom_node_text
parameter because, as the length of the text label increases, the graph lower margin will not increase accordingly. So if the label for a node is a bit long, it ends up getting clipped off from the plot.
Here is a reproducible example using the karate
sample data from the igraphdata
package.
ANSWER
Answered 2020-Apr-22 at 18:57You can set coord_cartesian(clip = "off")
in your plot and expand the plot margins:
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