国际创新网络中的全球城市

IF 0.7 4区数学 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Advances in Complex Systems Pub Date : 2021-10-13 DOI:10.1142/s0219525921400026

S. Edet, P. Panzarasa, M. Riccaboni

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引用次数: 0

摘要

最近关于国际网络的研究调查了全球城市作为知识流动催化剂的作用。在本文中，我们考察了跨国创新者网络中的全球城市。为了评估来自不同城市的科学家和发明家参与国际团队的可能性，我们提出了一个基于科学出版物和专利构建的合作网络中的3-超边缘的度量。该指标用于确定国际创新网络中最具竞争力的全球城市。为此，我们构造了一个基于随机图的超几何集合的零模型。我们发现，五个美国城市在跨国创新者网络中发挥了主导作用。其中，旧金山作为最全球化的城市脱颖而出。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Global Cities in International Networks of Innovators

Recent studies on international networks have investigated the role of global cities as catalysts of knowledge flows. In this paper, we examine global cities in transnational networks of innovators. To assess the likelihood of scientists and inventors from different cities to take part in international teams, we propose a measure based on 3-hyperedges in the collaboration network constructed from scientific publications and patents. This measure is used to identify the most competitive global cities in the international network of innovators. To this end, we construct a null model based on the hypergeometric ensembles of random graphs. We find that five US cities play a leading role in transnational networks of innovators. Among them, San Francisco stands out as the most globalized city.

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来源期刊

Advances in Complex Systems 综合性期刊-数学跨学科应用

CiteScore

1.40

自引率

0.00%

发文量

121

审稿时长

6-12 weeks

期刊介绍： Advances in Complex Systems aims to provide a unique medium of communication for multidisciplinary approaches, either empirical or theoretical, to the study of complex systems. The latter are seen as systems comprised of multiple interacting components, or agents. Nonlinear feedback processes, stochastic influences, specific conditions for the supply of energy, matter, or information may lead to the emergence of new system qualities on the macroscopic scale that cannot be reduced to the dynamics of the agents. Quantitative approaches to the dynamics of complex systems have to consider a broad range of concepts, from analytical tools, statistical methods and computer simulations to distributed problem solving, learning and adaptation. This is an interdisciplinary enterprise.