Research Article | OPEN ACCESS
Research of Enterprise Project Chain Risk Element Transmission Based on Complex Network Model
1CunBin Li, 1, 2Jianye Zhang, 1Peng Li and 1Xia Feng
1School of Economic and Management, North China Electric Power University,
Beijing 102206, PR China
2XinJian Electric Corporation, Xinjian 830002, PR China
Research Journal of Applied Sciences, Engineering and Technology 2013 13:2359-2365
Received: December 13, 2012 | Accepted: January 25, 2013 | Published: August 05, 2013
Abstract
In order to research of enterprise project chain risk element transmission, constructed the enterprise project chain network model based on a complex network and analyzed the complex network characteristics. Take the mean-field theory to analyze the project chain risk element transmission and get the critical value of project chain transmission. The simulation results show that the project chain has the typical characteristics of a complex network. The distribution of it obeys the power law with lower average path length and higher clustering coefficient. It is a typical scale-free network. Based on randomly selecting risk nodes and the key risk nodes, simulate the relationship between transfer rate and the density of project chain risk nodes. It can provide reference for enterprise to make decision of project chain risk prevention. Finally, improve the whole project chain risk management efficiency and valuably.
Keywords:
Complex networks, mean-field theory, project chain, risk element transmission, SIS model,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is 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, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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