Assume C is a commenting network - u comments on v. Let 1 be a vector filled with 1s. Then, see netr2.pdf, slide 32, 1 C(k) for large enough k gives the level (distance from the corresponding basic node) of each node; and 1 CT(k) the number of commentators.
The procedure for levels in Pajek:
Read commenting network C Vector/Create constant vector s(0) with 0 Vector/Create constant vector v(0) with 1 for k = 0, 1, 2, ... repeat: Operations/Network+Vector/Network*vector --> v(k+1) Vector/Info - If vector is 0 STOP Select s(k) as the second vector Vectors/Add --> s(k+1) Select vector v(k+1) as the first vector Vector s(k) is the result
The procedure for commentators is the same, except the first line is replaced by
Network/Transform/Transpose 1-mode
> c <- c( + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, + 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0) > C <- matrix(c,byrow=TRUE,nrow=15) > colnames(C) <- rownames(C) <- paste("v",1:15,sep="") > C v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 v1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 v2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 v3 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 v4 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 v5 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 v6 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 v7 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 v8 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 v9 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 v10 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 v11 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 v12 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 v13 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 v14 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 v15 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 >
> v <- rep(1,15); s <- rep(0,15) > (v <- v%*%C); (s <- s+v) v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 3 1 0 2 1 2 0 1 0 0 2 0 1 0 0 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 3 1 0 2 1 2 0 1 0 0 2 0 1 0 0 > (v <- v%*%C); (s <- s+v) v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 3 2 0 2 0 1 0 0 0 0 1 0 0 0 0 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 6 3 0 4 1 3 0 1 0 0 3 0 1 0 0 > (v <- v%*%C); (s <- s+v) v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 2 1 0 1 0 0 0 0 0 0 0 0 0 0 0 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 8 4 0 5 1 3 0 1 0 0 3 0 1 0 0 > (v <- v%*%C); (s <- s+v) v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 9 4 0 5 1 3 0 1 0 0 3 0 1 0 0 > (v <- v%*%C); (s <- s+v) v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 9 4 0 5 1 3 0 1 0 0 3 0 1 0 0
> v <- rep(1,15); s <- rep(0,15) > t(v <- C%*%v); t(s <- s+v) v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 > t(v <- C%*%v); t(s <- s+v) v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 0 0 1 1 1 1 2 2 2 2 2 2 2 2 2 > t(v <- C%*%v); t(s <- s+v) v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 0 0 1 1 1 1 2 2 2 2 2 3 3 3 3 > t(v <- C%*%v); t(s <- s+v) v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 0 0 1 1 1 1 2 2 2 2 2 3 3 3 4 > t(v <- C%*%v); t(s <- s+v) v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 v1 v2 v3 v4 v5 v6 v7 v8 v9 v10 v11 v12 v13 v14 v15 [1,] 0 0 1 1 1 1 2 2 2 2 2 3 3 3 4
Pajek (Andrej): iterative sum