孵化网络结构、风险传播对孵化网络最终健康水平的影响——结构可视化的调节作用  

Impacts of Incubation Network Structure and Risk Propagation on the Ultimate Health of Incubation Network——A Model of Structural Visualization-based Adjustment

作　　者：吴田[1,2] 胡海青[1] Wu Tian;Hu Haiqing(School of Economics and Management,Xi'an University of Technology,Xi'an 710054,China;School of Finance,Xi'an Eurasia University,Xi'an 710065,China)

机构地区：[1]西安理工大学经济与管理学院,陕西西安710054 [2]西安欧亚学院金融学院,陕西西安710065

出　　处：《科技进步与对策》2021年第8期16-25,共10页Science & Technology Progress and Policy

基　　金：国家自然科学基金项目(72072144,71672144,71372173);陕西省软科学研究计划重点项目(2019KRZ007);西安市社会科学规划基金课题重点项目(17J85);陕西省教育厅项目(17JK1033)。

摘　　要：风险在孵化网络中的传播影响孵化网络健康水平,并会导致在孵企业高失败率与低成长率。为实现有效的网络治理,以两家国家级孵化器形成的实际网络为例,运用复杂网络理论中的SIR模型和仿真方法,模拟特定情境下风险在不同网络结构中的传播机理及其对孵化网络最终健康水平的影响。研究发现:孵化网络结构、风险传播与网络健康间具有显著相关性;在低初始健康分布情景下,无标度网络具有更快的恢复速度;在不同网络结构下,可视化水平均有助于提升孵化网络风险化解能力。The spread of risks in the incubation network affects the overall health of the incubation network and will lead to high failure rates and low growth rates of incubating enterprises.For the sake of achieving an effective network governance,the actual networks formed by two national incubators were used as examples,and SIR models of the Complex Theory and the simulation methods were proposed to simulate the propagation mechanism against risks in different network structure under specific circumstances,and those simulated data were subjected to a regression analysis.Studies show that there is a significant correlation between the incubation network structure,risk propagation,and ultimate health of network;under a lower initial health distribution,the scale free network has a faster recovery speed;different network structures and visualization levels can help improve the ability of incubation networks to mitigate risks.

关 键 词：孵化器 孵化网络结构 风险传播 孵化网络健康水平 结构可视化 

分 类 号：F272.2[经济管理—企业管理]