Paradigm & VioletRook
VioletRook
I’ve been sketching a spreadsheet of a murder scene layout—do you think a graph‑based model could actually predict the suspect’s route?
Paradigm
Sure thing, a graph‑based model is actually a pretty slick way to map out a suspect’s possible route. Think of every spot in the scene as a node and every possible path as an edge, then you can weigh those edges with distance, time, or even obstacles. Once you’ve got that network, you can run shortest‑path or even probabilistic algorithms to see which routes fit the timeline and behavior clues. It’s like giving the suspect a digital road map and seeing where the math says he’d go.
VioletRook
Nice idea, but remember he never uses elevators, so those edges are dead weight. Also, add a penalty for the hallway that was under construction last week; the suspect would almost certainly avoid it. After you tweak the weights, the shortest path will start to look less like a clean algorithm and more like an actual crime scene.
Paradigm
Got it—no elevator edges, and that dusty hallway gets a hefty penalty. Once you re‑weight, the algorithm will start favoring the real, gritty detours the suspect would actually take. It’s like turning a tidy math puzzle into a crime‑scene detective story.
VioletRook
Yeah, that makes sense, but don’t forget he’d also avoid the hallway because of the bad smell, and the timeline still has that 15‑minute gap. Double‑check those edges.
Paradigm
Add that bad‑smell penalty too, and bump the weight on the hallway so high it practically vanishes. Then tweak the edge times to match the 15‑minute gap—maybe a short break at the back office or a hidden exit. Once those adjustments are in, the shortest path will finally line up with the real timeline, not just a neat math trick.