Research on the complexity of technological innovation supported by Internet

Cuilan Wang, Deji Wang
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引用次数: 1

Abstract

This paper analyzes the complexity of Internet innovation using scale-free network theory. The evolutionary model has also been numerically simulated. The conclusion is that the model has small-world and scale-free features. The small-world effect shows that there is a wide range of high efficiency Internet resource integration. Scale-free features indicate that a few core nodes become central. Therefore, we should not only see the characteristics to enhance the positive effect of innovation performance, but also avoid the risk of lock-in and vulnerability.
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基于互联网的技术创新复杂性研究
本文运用无标度网络理论分析了互联网创新的复杂性。该进化模型也进行了数值模拟。结论是该模型具有小世界和无标度特征。小世界效应表明,存在着范围广泛、效率较高的互联网资源整合。无标度特征表明几个核心节点成为中心。因此,我们既要看到增强创新绩效积极效应的特征,又要避免创新绩效的锁定和脆弱性风险。
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