Nice graph! As expected, it’s mostly symmetrical. But not entirely.
I don’t live in wormholes myself, but I wonder if someone who is at home in wormholes has a possible explanation for the parts that aren’t symmetrical.
The figure is roughly symmetrical along the diagonal.
The bottom half represents a capsuleer generates a kill mail in a higher class wormhole system followed by another kill mail in a lower class wormhole system within 10 minutes.
The upper half represents a capsuleer generates a kill mail in a lower class wormhole system followed by another kill mail in a higher class wormhole system within 10 minutes.
Here is my guess.
Suppose capsuleers who often win fights would live in higher class wormhole system.
When they win a fight at their home wormhole system, they might jump to a lower class system and win another fight within 10 minutes. After that two things can happen: A. They move back to their home wormhole system, don’t find a good target, and log off. B. They move to an even lower class wormhole system and win another fight within 10 minutes.
On the other hand, capsuleers who often lose fights would live in lower class wormhole systems. After they win a fight against a capsuleer or npc in a lower class system, they might go to a higher class system with a low probability. If they do that, they have a relatively high chance to get killed within 10 minutes. After that, they respawn in known space and would not immediately try this again.
The combined effect is that the bottom half has brighter dots, which means higher probability.
Another possible reason is that capsuleers that win more fights have a higher chance to register at zKillboard and live in higher class wormhole systems.
The asymmetry is less pronounced when the jumps are between high class (classes 4, 5, and 6) wormhole systems. I guess that is because the capsuleers at both sides of the fight have roughly equal chances to die.
There are lots of things to check. But it is possible to build a model of cats versus mouses with the zKillboard data.
The figure actually counts the behavior of capsuleers instead of the probability that a wormhole connects two system. To count the probability that a wormhole connects two system, I need to make a statistical or Bayesian model to guess
what happens between kills in zkillboard and
when do wormhole spawn and despawn.
1 means making histogram of time between kills in each system. Or trying to automatically identify different behaviors of capsuleers like wormhole rolling, exploration, pvpers, etc, and make statistical models. I think 2 is easier… Maybe I can try to use a Poisson distribution.
I guess there are correlations between connections between wormholes systems. Human behavior is not random. Capsuleers can roll wormholes that they don’t like.
While I set the diagonal to zero in the figure, I count the jump from a system to itself in the normalization. When a player makes 2 kills in system A and then 1 kill in system B all in the same 10 minutes, the program would record 1 jump from A to B and 1 jump from A to A. The program only memorizes the last occurrence of each player that are within 10 min from now.