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Table 4 Results Cn(wN = 1.0, T) from Eq. (9)

From: Influence spreading model used to analyse social networks and detect sub-communities

n wN = 1.0
Cn, T = 1 Cn, T = 3 Cn, T = 5 Ranking, T = 1 Ranking, T = 3 Ranking, T = 5
1 0.173 0.677 0.872 3 3 8
2 0.075 0.378 0.756 27 8 17
3 0.317 0.810 0.896 24 17 22
4 0.238 0.744 0.888 10 22 31
5 0.031 0.031 0.031 7 31 24
6 0.204 0.700 0.880 4 24 23
7 0.244 0.759 0.895 30 23 10
8 0.214 0.807 0.906 20 7 3
9 0.089 0.473 0.800 15 10 7
10 0.264 0.751 0.896 8 4 4
11 0.089 0.473 0.800 17 30 30
12 0.031 0.031 0.031 22 27 20
13 0.168 0.678 0.869 31 20 15
14 0.140 0.590 0.868 28 15 27
15 0.215 0.736 0.886 23 28 28
16 0.132 0.576 0.861 6 6 6
17 0.214 0.807 0.906 19 19 19
18 0.031 0.031 0.031 29 29 29
19 0.191 0.678 0.877 1 13 1
20 0.230 0.737 0.888 13 1 13
21 0.095 0.402 0.769 14 14 14
22 0.214 0.807 0.906 16 16 16
23 0.208 0.782 0.896 25 25 25
24 0.287 0.804 0.897 32 32 32
25 0.103 0.548 0.835 21 9 9
26 0.065 0.249 0.586 9 11 11
27 0.315 0.744 0.886 11 21 21
28 0.211 0.707 0.884 2 2 2
29 0.191 0.678 0.877 26 26 26
30 0.238 0.744 0.888 5 5 5
31 0.214 0.807 0.906 12 12 12
32 0.103 0.548 0.835 18 18 18