igraphdata | Data sets for the igraph R package

 by   igraph R Version: v1.0.1.9001 License: Non-SPDX

kandi X-RAY | igraphdata Summary

kandi X-RAY | igraphdata Summary

igraphdata is a R library. igraphdata has no bugs, it has no vulnerabilities and it has low support. However igraphdata has a Non-SPDX License. You can download it from GitHub.

Data sets for the igraph R package
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              igraphdata has a low active ecosystem.
              It has 49 star(s) with 18 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 5 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of igraphdata is v1.0.1.9001

            kandi-Quality Quality

              igraphdata has 0 bugs and 0 code smells.

            kandi-Security Security

              igraphdata has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              igraphdata code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              igraphdata has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              igraphdata releases are not available. You will need to build from source code and install.

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            igraphdata Key Features

            No Key Features are available at this moment for igraphdata.

            igraphdata Examples and Code Snippets

            No Code Snippets are available at this moment for igraphdata.

            Community Discussions

            QUESTION

            How to determine number of vertices per cluster in R with igraph
            Asked 2022-Jan-21 at 18:10

            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 23:45

            I think this may do what you want. First, assign the community membership to the nodes:

            Source https://stackoverflow.com/questions/70763428

            QUESTION

            R: "connecting" graphs
            Asked 2020-Nov-25 at 08:58

            Using R, I created and plotted a graph:

            ...

            ANSWER

            Answered 2020-Nov-25 at 08:58

            For 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").

            Source https://stackoverflow.com/questions/64997562

            QUESTION

            How can I add edges into an existing plot?
            Asked 2020-Oct-31 at 13:04

            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 13:04

            Yes. Use your coGrph to create a layout, but then plot the original graph.

            Continuing your "second trial"

            Source https://stackoverflow.com/questions/64618921

            QUESTION

            Visualizing the result of dividing the network into communities
            Asked 2020-Sep-12 at 18:40

            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 15:24

            Nothing 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.

            Source https://stackoverflow.com/questions/62553280

            QUESTION

            Plot the large network in R language
            Asked 2020-Sep-12 at 18:38

            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 14:29

            Good 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

            Source https://stackoverflow.com/questions/62632444

            QUESTION

            sub graph of the 10 most represented node in igraph
            Asked 2020-Jun-24 at 07:52

            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 07:52

            Given 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).

            Source https://stackoverflow.com/questions/62539181

            QUESTION

            ggraph arc diagram clips label text
            Asked 2020-Apr-22 at 18:57

            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 18:57

            You can set coord_cartesian(clip = "off") in your plot and expand the plot margins:

            Source https://stackoverflow.com/questions/61372274

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install igraphdata

            You can download it from GitHub.

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            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone igraph/igraphdata

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