[R] randomly sampling and visualizing 100 nodes in a citation network with igraph library

[Rui Barradas]

Hello,

Maybe you can sample from the vertices

subv <- sample(V(G), 100)

and then use something like [1] (StackOverflow).

[1]https://stackoverflow.com/questions/23682113/creating-subgraph-using-igraph-in-r


Hope this helps,

Rui Barradas

Às 22:02 de 03/05/19, Drake Gossi escreveu:
> Hello everyone,
> 
> How would I randomly select 100 nodes to look at out of these approx.
> 25,0000? I'm practicing constructing a citation network.
> 
> edgeList below is an edge list.
> 
>> head (edgeList)
>       to        from
> [1,] "4US6"    "3US320"
> [2,] "4US6"    "4US1"
> [3,] "6US280"  "1US393"
> [4,] "6US280"  "1US53"
> [5,] "6US280"  "3US133"
> [6,] "14US179" "5US321"
> 
>> G <- graph.edgelist(edgeList, directed=FALSE)
>> G
> IGRAPH a473ce7 UN-- 25417 216738 --
> + attr: name (v/c)
> + edges from a473ce7 (vertex names):
>   [1] 4US6   --3US320  4US6   --4US1    6US280 --1US393
>   [4] 6US280 --1US53   6US280 --3US133  14US179--5US321
>   [7] 14US179--9US262  15US45 --3US384  15US45 --4US436
> [10] 15US45 --4US441  15US45 --8US421  15US227--13US388
> [13] 15US227--2US36   15US290--7US220  9US262 --15US290
> [16] 15US369--11US504 15US369--11US577 15US369--5US137
> [19] 15US369--9US115  15US396--1US371  15US396--4US450
> [22] 15US396--6US358  15US396--7US73   16US1  --11US603
> + ... omitted several edges
> 
> Can I use the sample () function? I'm working with the text Humanities
> Data in R (Arnold & Tilton). I'm working within the igraph library.
> 
> Drake
> 
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