From: Fairness norm through social networks: a simulation approach
Iteration | Distribution | x = 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | \(N_i\) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | P | 0 | 0 | 0 | 0.2 | 0.2 | 0 | 0 | 0.4 | 0 | 0.2 | 0 | – |
\(P_1\) | 0 | 0 | 0 | 0.2 | 0.2 | 0 | 0 | 0.4 | 0 | 0.2 | 0 | 6 | |
\(P_4\) | 0 | 0 | 0 | 0.195 | 0.195 | 0 | 0 | 0.414 | 0 | 0.195 | 0 | 6.02 | |
2 | P | 0 | 0 | 0 | 0 | 0 | 0.8 | 0.2 | 0 | 0 | 0 | 0 | – |
\(P_1\) | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | |
\(P_4\) | 0 | 0 | 0 | 0 | 0 | 0.814 | 0.186 | 0 | 0 | 0 | 0 | 5.18 | |
3 | P | 0 | 0 | 0 | 0 | 0.6 | 0.4 | 0 | 0 | 0 | 0 | 0 | – |
\(P_1\) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | |
\(P_4\) | 0 | 0 | 0 | 0 | 0.604 | 0.395 | 0 | 0 | 0 | 0 | 0 | 4.37 | |
Output | P | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | - |