Editing Communication and Social Networks (Fall 2022)/Final project
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There are a number of repositories of network datasets. Probably the simplest to use are those found in the [https://github.com/schochastics/networkdata networkdata] package, which we have already been using. If you look at the [https://github.com/schochastics/networkdata homepage of the package], you can see descriptions of the datasets that are included. | There are a number of repositories of network datasets. Probably the simplest to use are those found in the [https://github.com/schochastics/networkdata networkdata] package, which we have already been using. If you look at the [https://github.com/schochastics/networkdata homepage of the package], you can see descriptions of the datasets that are included. | ||
Another repository I really like is the [https://icon.colorado.edu/#!/networks Index of Complex Networks]. You can filter by type of network, size, etc. One thing to note about these networks is that you will need to load them into R (unlike <code>networkdata</code>). They are in different formats, and you will likely need to do some work to get them to be <code>igraph/tablegraph< | Another repository I really like is the [https://icon.colorado.edu/#!/networks Index of Complex Networks]. You can filter by type of network, size, etc. One thing to note about these networks is that you will need to load them into R (unlike <code>networkdata</code>). They are in different formats, and you will likely need to do some work to get them to be <code>igraph/tablegraph<code> networks. | ||
Fortunately, there are a number of tools in <code>igraph</code> designed to help you to import different file types. [https://igraph.org/c/doc/igraph-Foreign.html This page] gives a great overview. | Fortunately, there are a number of tools in <code>igraph</code> designed to help you to import different file types. [https://igraph.org/c/doc/igraph-Foreign.html This page] gives a great overview. |