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安徽工业大学 毕业设计（论文）说明书
1 2 3 4 OutDegree InDegree NrmOutDeg NrmInDeg ------------ ------------ ------------ ------------ 1 Mean 5.689 5.689 35.559 35.559 2 Std Dev 0.751 4.419 4.695 27.617 3 Sum 91.030 91.030 568.938 568.938 4 Variance 0.564 19.525 22.039 762.686 5 SSQ 526.931 830.300 20583.238 32433.590 6 MCSSQ 9.027 312.396 352.621 12202.973 7 Euc Norm 22.955 28.815 143.469 180.093 8 Minimum 3.410 1.000 21.313 6.250 9 Maximum 6.950 12.040 43.438 75.250
Network Centralization (Outdegree) = 8.964% Network Centralization (Indegree) = 45.160%
Actor-by-centrality matrix saved as dataset FreemanDegree
---------------------------------------- Running time: 00:00:01
Output generated: 26 五月 14 10:01:28 Copyright (c) 2002-8 Analytic Technologies
附录2 供应链M契约网络节点中间度分析结果
FREEMAN BETWEENNESS CENTRALITY
--------------------------------------------------------------------------------
Input dataset: 444' (C:\\Users\\Administrator\\Desktop\\444')
Important note: this routine binarizes but does NOT symmetrize.
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安徽工业大学 毕业设计（论文）说明书
Un-normalized centralization: 2.190
1 2 Betweenness nBetweenness ------------ ------------ 6 12 0.619 1.720 2 8 0.619 1.720 8 14 0.619 1.720 4 10 0.619 1.720 7 13 0.619 1.720 1 7 0.310 0.860 5 11 0.310 0.860 10 16 0.143 0.397 9 15 0.143 0.397 3 9 0.000 0.000
DESCRIPTIVE STATISTICS FOR EACH MEASURE
1 2 Betweenness nBetweenness ------------ ------------ 1 Mean 0.400 1.111 2 Std Dev 0.234 0.651 3 Sum 4.000 11.111 4 Variance 0.055 0.423 5 SSQ 2.149 16.578
6 MCSSQ 0.549 4.232 7 Euc Norm 1.466 4.072 8 Minimum 0.000 0.000 9 Maximum 0.619 1.720
Network Centralization Index = 0.68%
Output actor-by-centrality measure matrix FreemanBetweenness
saved as dataset
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安徽工业大学 毕业设计（论文）说明书
---------------------------------------- Running time: 00:00:01
Output generated: 26 五月 14 11:15:27
Copyright (c) 1999-2008 Analytic Technologies
附录3 供应链信任网络凝聚子群分析结果
CONCOR
--------------------------------------------------------------------------------
Diagonal: Ignore Max partitions: 3
Input dataset: 666 (C:\\Users\\Administrator\\Desktop\\666)
Initial Correlation Matrix
7 8 9 10 11 12 13 14 15 16 ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- 7 1.00 1.00 -0.02 0.94 -0.25 0.49 -0.25 -0.20 -0.07 -0.24 8 1.00 1.00 -0.00 0.91 -0.24 0.49 -0.24 -0.20 -0.07 -0.24 9 -0.02 -0.00 1.00 -0.27 0.46 -0.20 0.81 -0.11 -0.20 -0.37 10 0.94 0.91 -0.27 1.00 -0.33 0.04 -0.38 -0.19 0.48 0.04 11 -0.25 -0.24 0.46 -0.33 1.00 -0.49 0.09 0.55 -0.15 -0.49 12 0.49 0.49 -0.20 0.04 -0.49 1.00 -0.46 -0.31 -0.33 0.33 13 -0.25 -0.24 0.81 -0.38 0.09 -0.46 1.00 -0.09 -0.11 -0.01 14 -0.20 -0.20 -0.11 -0.19 0.55 -0.31 -0.09 1.00 0.15 -0.06 15 -0.07 -0.07 -0.20 0.48 -0.15 -0.33 -0.11 0.15 1.00 0.76 16 -0.24 -0.24 -0.37 0.04 -0.49 0.33 -0.01 -0.06 0.76 1.00
PARTITION DIAGRAM
1 1 1 1 1 1 1
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安徽工业大学 毕业设计（论文）说明书
7 8 0 2 6 5 9 3 4 1
1 Level 1 2 4 6 0 9 3 7 8 5 ----- - - - - - - - - - - 3 XXXXX . XXX XXX XXX 2 XXXXXXX XXX XXX XXX 1 XXXXXXXXXXX XXXXXXX
Relation 1
Blocked Matrix
10 9 1 2 4 6 3 7 8 5
16 15 7 8 10 12 9 13 14 11
---------------------------------------------------------------------
10 16 | 0.300 | | 0.400 | | 0.300 |
9 15 | 0.040 | | 0.850 | 0.100 | 0.010 |
-----------------------------------------------------------------------
1 7 | | 0.050 0.830 | 0.100 | | 0.020 |
2 8 | | 0.050 0.820 | 0.100 | | 0.030 |
4 10 | | 0.320 0.300 | 0.330 | 0.020 | 0.030 |
----------------------------------------------------------------------- 6 12 | 0.050 0.400 | 0.100 0.100 0.300 | | 0.010 | 0.040 |
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安徽工业大学 毕业设计（论文）说明书
-----------------------------------------------------------------------
3 9 | | 0.120 | | 0.080 | 0.800 |
7 13 | | 0.020 | 0.080 | 0.100 | 0.300 0.500 |
-----------------------------------------------------------------------
8 14 | 0.030 0.020 | | 0.150 | 0.800 | |
5 11 | | 0.040 0.060 0.020 | 0.030 | 0.450 0.400 | |
----------------------------------------------------------------------
Density Matrix
1 2 3 4 5 ----- ----- ----- ----- ----- 1 0.170 0.000 0.625 0.025 0.078 2 0.000 0.395 0.177 0.003 0.013 3 0.225 0.167 0.005 0.020 4 0.000 0.023 0.040 0.090 0.400 5 0.012 0.020 0.090 0.413 0.000
R-squared = 0.587
First order actor-by-actor correlation matrix saved as dataset Concor1stCorr
Partition-by-actor indicator matrix saved as dataset ConcorCCPart Permutation vector saved as dataset ConcorCCPerm
---------------------------------------- Running time: 00:00:01
Output generated: 26 五月 14 13:31:57
Copyright (c) 1999-2008 Analytic Technologies
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安徽工业大学 毕业设计（论文）说明书
4信任网络凝聚子群树状图
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