I think is good to know that list contain more than 600000 rows with
around 14000 nodes (participants).
?read.table may be unreliable for large matrices and with 14/600
you'll end up with many NA's. You might do better with
nbrs<- scan('nbrs.txt',skip=1,what=list('integer','integer',double(0)))
names(nbrs) <- c('c1','c2','c3')
xtabs(c3~c1+c2,nbrs,sparse=T)
# returns
4 x 9 sparse Matrix of class "dgCMatrix"
1 2 3 4 5 6 7 8 9
1 . 0.065 0.044 . . . . . .
3 0.071 . . 0.016 0.011 . . . .
4 . . 0.004 . . . 0.004 . 0.004
5 . . . 0.010 . 0.011 . 0.009 0.004
Cheers
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