| 基于复杂网络的企业创新网络级联失效可靠性模型 |
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| 引用本文： | 秦胜君.基于复杂网络的企业创新网络级联失效可靠性模型[J].科技管理研究,2017(7). |
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| 作者姓名： | 秦胜君 |
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| 作者单位： | 广西科技大学 管理学院 |
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| 基金项目： | 信息流视角下的企业创新网络演化机制及相应对策研究(编号：SK13YB069)； |
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| 摘 要： | 在企业创新网络演化模型的基础上提出节点的创新能力概念,构建企业创新网络级联失效可靠性模型,并对动荡、动态平衡和萎缩3种类型网络进行仿真实验研究。仿真数据表明:随机攻击节点条件下,动荡网络的节点失效率高于其他两种网络,但在攻击度中心性较高节点时动态平衡网络的节点级联失效率要高于动荡网络;随着度中心性变小,动态平衡网络的节点失效率逐渐低于动荡网络,而萎缩网络的节点失效率则一直处于最低;除此之外,如果攻击流介数中心性节点,动荡网络的创新能力损失率一直较高。实验结果表明,动荡网络的网络综合创新能力最高,但是可靠性较低。
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| 关 键 词： | 企业创新网络 复杂网络 级联失效 可靠性模型 |
| 收稿时间： | 2016/6/26 0:00:00 |
| 修稿时间： | 2017/3/30 0:00:00 |
Cascading Failure Reliability Model of Enterprise Innovation Network Based on Complex Networks |
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| Abstract: | On the basis of enterprise innovation network evolution model, we proposed the concept of innovation capacity nodes ,and constructed cascade innovation network failure reliability model, then simulated the cascading failure reliability of the volatility, homeostasis and atrophy network. Simulation data show that: under conditions of random attack node, the failure rate of volatility network is higher than the other two networks. And then we deliberately attacked the network note which is according to the degree centrality in descending order , the node failure rate of the homeastasis network is higher than the network instability network when node with the higher degree centrality is attacking. But when the degree centrality is smaller, the node failure rate of dynamic balance network is gradually lower than the unrest network, and the node failure rate of shrinking network is at its lowest. In addition, if the attack flow betweenness centrality node, the innovation network loss rate of volatility network is highest between the three networks. Experimental results show that the integrated innovation capability network of volatility network is maximum , but the reliability is low. |
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| Keywords: | Enterprise Innovation Network Complex NetWorks Cascading Failures Reliability Model |
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