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R value tests

Very new for the analysis of social networks and R (read several online presentations, created several graphs yourself), but I really want to learn different ways of applying it. However, what general tests apply to networks, or rather, if the two networks are "statistically different?"

Any help / tutorials you can point me to, especially in R, would be greatly appreciated!

Thank,

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Firstly, the Graphical Models in R View Task , (on CRAN) probably lists each R-package, which is primarily associated with graph theory or with any application, for example, analysis of a social network.

(Task representations are simply collections of packages connected either using a domain / application (e.g., Finance), or using a technique (e.g., regression)).

If you are fairly new to network modeling and you have no background in graph theory, let me suggest R Package network models (the value is not limited to beginners). netmodels is essentially a collection of wrappers around lower-level functions in a C library called igraph, which has R bindings (also called igraph).

So, for example, using netmodels, you can just call the function

do.base.description

, (, , , , ..)

, netmodels, , " " , " ", " ", " ".

R-, , , RSiena sna.

" " . , / .

, ? , , , , , . , ( R- ):

  • ( node , ) R : plot.c.degree

  • Krackhardt ( 0 1) R : sna

  • ( ) R : average.path.length igraph

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Source: https://habr.com/ru/post/1757923/

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