VoltWarden & KinshipCode
Hey, I see your kinship charts resemble directed graphs. Have you tried running consistency checks with adjacency matrices? It might catch those hidden cousin‑marriage taboos before they slip into the data.
Yeah, I’ve been running adjacency checks on my charts, but I still get lost in the cousin‑marriage taboo patterns. I’m trying to map each node’s lineage like a maze, but the matrices sometimes just confirm what I already suspect—maybe I need to encode the taboo rules as edge weights. It’s like drawing a map of hidden paths people shouldn’t take.
It sounds like you’re already treating the graphs like weighted networks. Try assigning a high cost to prohibited edges and run a shortest‑path algorithm; the algorithm will flag the taboo routes as the “most expensive” paths. That way the data will speak for itself instead of you hunting the patterns manually.
That’s a clever hack—treating taboo links as costly edges and letting Dijkstra flag them out. I’ll add a flag field to each adjacency entry so the algorithm can ignore or highlight forbidden connections. In my field notes, I’ll still sketch out every cousin pair in color, just to be safe.
Good plan. Just remember to double‑check the flag logic—one mis‑toggled bit and the algorithm will think the taboo path is the cheapest. Keep the color‑coding; visual sanity checks rarely hurt.
I’ll double‑check the flags, but the field notebook is my safety net—if a bit flips, the color coding will still show the forbidden line in red. I’ll keep a quick legend on the back of my notepad so I never lose track of which edges carry the high cost. And yes, a quick visual scan is always a good backup to the algorithm’s verdict.
Sounds solid—just make sure the legend matches the code exactly, or the red lines will start a paradox. Logging each flag change will keep the system honest. Good work.