Understanding supply chain network are important for modeling the spread of risks in enterprise nodes. This study characterizes the supply chain risk network of the spread of several nodes. To identify the rule of the movement of risk nodes, several parameters describing these properties are measured (degree, risk, the number of risk nodes, average risk, average path length and average clustering). The simulation results indicate: (1) this risk network has small-world and scale-free property; (2) the basic topological characteristics on static network displayed a regular change; (3) the characteristics of the spread of risk is measured by risk distribution which obeys a double power law and average risk which has a negative correlation with the number of risk node. In summation, this paper tries to analyze the risk spread of several nodes in supply chain network from macroscopic perspective.
| Published in | International Journal of Economics, Finance and Management Sciences (Volume 1, Issue 6) |
| DOI | 10.11648/j.ijefm.20130106.18 |
| Page(s) | 318-322 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2013. Published by Science Publishing Group |
Supply Chain, Complex Network, Risk Spread, Fixed Probability, Degree Distribution, Risk Distribution, Average Path Length, Average Clustering
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APA Style
Lei Wen, Mingfang Guo, Yachao Shi. (2013). The Statistical Feature Analysis and Simulation Study of Supply Chain Based on Fixed Spread Risk Probability. International Journal of Economics, Finance and Management Sciences, 1(6), 318-322. https://doi.org/10.11648/j.ijefm.20130106.18
ACS Style
Lei Wen; Mingfang Guo; Yachao Shi. The Statistical Feature Analysis and Simulation Study of Supply Chain Based on Fixed Spread Risk Probability. Int. J. Econ. Finance Manag. Sci. 2013, 1(6), 318-322. doi: 10.11648/j.ijefm.20130106.18
AMA Style
Lei Wen, Mingfang Guo, Yachao Shi. The Statistical Feature Analysis and Simulation Study of Supply Chain Based on Fixed Spread Risk Probability. Int J Econ Finance Manag Sci. 2013;1(6):318-322. doi: 10.11648/j.ijefm.20130106.18
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Download@article{10.11648/j.ijefm.20130106.18,
author = {Lei Wen and Mingfang Guo and Yachao Shi},
title = {The Statistical Feature Analysis and Simulation Study of Supply Chain Based on Fixed Spread Risk Probability},
journal = {International Journal of Economics, Finance and Management Sciences},
volume = {1},
number = {6},
pages = {318-322},
doi = {10.11648/j.ijefm.20130106.18},
url = {https://doi.org/10.11648/j.ijefm.20130106.18},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20130106.18},
abstract = {Understanding supply chain network are important for modeling the spread of risks in enterprise nodes. This study characterizes the supply chain risk network of the spread of several nodes. To identify the rule of the movement of risk nodes, several parameters describing these properties are measured (degree, risk, the number of risk nodes, average risk, average path length and average clustering). The simulation results indicate: (1) this risk network has small-world and scale-free property; (2) the basic topological characteristics on static network displayed a regular change; (3) the characteristics of the spread of risk is measured by risk distribution which obeys a double power law and average risk which has a negative correlation with the number of risk node. In summation, this paper tries to analyze the risk spread of several nodes in supply chain network from macroscopic perspective.},
year = {2013}
}
TY - JOUR T1 - The Statistical Feature Analysis and Simulation Study of Supply Chain Based on Fixed Spread Risk Probability AU - Lei Wen AU - Mingfang Guo AU - Yachao Shi Y1 - 2013/11/10 PY - 2013 N1 - https://doi.org/10.11648/j.ijefm.20130106.18 DO - 10.11648/j.ijefm.20130106.18 T2 - International Journal of Economics, Finance and Management Sciences JF - International Journal of Economics, Finance and Management Sciences JO - International Journal of Economics, Finance and Management Sciences SP - 318 EP - 322 PB - Science Publishing Group SN - 2326-9561 UR - https://doi.org/10.11648/j.ijefm.20130106.18 AB - Understanding supply chain network are important for modeling the spread of risks in enterprise nodes. This study characterizes the supply chain risk network of the spread of several nodes. To identify the rule of the movement of risk nodes, several parameters describing these properties are measured (degree, risk, the number of risk nodes, average risk, average path length and average clustering). The simulation results indicate: (1) this risk network has small-world and scale-free property; (2) the basic topological characteristics on static network displayed a regular change; (3) the characteristics of the spread of risk is measured by risk distribution which obeys a double power law and average risk which has a negative correlation with the number of risk node. In summation, this paper tries to analyze the risk spread of several nodes in supply chain network from macroscopic perspective. VL - 1 IS - 6 ER -
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