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 ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.