With igraph package through Rserver: Removing the trivial loops and
combining part1 and part2 results in a DAG, so no nontrivial cycles. Or am
I missing something?
   load'stats/r/rserver'
   Rcmd'library(igraph)'
   'A' Rset part1 +.&(*. -.@e.@i.@#) part2
   Rcmd'g <- graph_from_adjacency_matrix(A, mode="directed")'
   Rget'is.dag(g)'
1



On Thu, Apr 7, 2022 at 1:22 AM Raul Miller <rauldmil...@gmail.com> wrote:

>
> https://gist.githubusercontent.com/rdm/3ce3503ee63b51cd49c97ad185e1dd6f/raw/100e83ba7a87f10b844271180318c37fee1304dc/gph.txt
>
> The text at that gist represents a "defective graph"
>
> require'web/gethttp'
> text=: gethttp url
> 'A B C'=: |:640 #.inv<.0".text rplc LF,' '
>
> part1=: A=/B
> part2=: B=/C
>
> To get an idea of the structure, try inspecting part1 and part2 in viewmat.
>
> part1 and part2 are almost the same, but not quite. In some cases, we
> have nodes which are reflexive (point to themselves) in the one, but
> not in the other.
>
> Also, some nodes point "outside" the graph. In part1 and part2, these
> connections are ignored, and that's fine for now.
>
> I am trying to figure out a good way of detecting nontrivial cycles
> (cycles which include at least two graph nodes) in either part 1, or
> part 2, or the combination of the two (part1 and part2 together
> represent connections involving these same nodes).
>
> Does anyone here have a good approach for that?
>
> Thanks,
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