Research on Formation Factors of Interdisciplinary Collaborative Innovation Network in Universities Based on Exponential Random Graph Model

机译：基于指数随机图模型的大学跨学科协作创新网络形成因素研究

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Based on three national awards data from 2011 to 2016, interdisciplinary collaborative innovation network in universities is constructed and the structure effects and exogenous effects that influence the formation of innovation network are put forward. An exponential random graph model (ERGM) is set up to identify factors that influence the formation of interdisciplinary collaborative innovation network in universities by model optimization. The results show that cooperation centrality, regional homogeneity and connectivity play positive roles in the formation of innovation network. Cooperation openness and experience have no significant influence and geographic proximity shows convergence trends. It provides a decisive reference for the development of interdisciplinary cooperation among universities.

机译：基于2011年至2016年的三个国家奖项数据，建立了大学的跨学科协作创新网络，提出了影响创新网络形成的结构效应和外生影响。建立指数随机图模型（ERGM），以识别通过模型优化在大学中形成跨学科协作创新网络的因素。结果表明，合作集中性，区域同质性和连通性在创新网络的形成中起着正面作用。合作开放和经验没有显着影响和地理邻近地显示会聚趋势。它为大学间跨学科合作提供了决定性参考。

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《International Conference on Management, Education and Social Science》|2018年|615p|共6页
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Wang Limei;
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中图分类 C1-53;
关键词
Collaborative innovation network; Exponential random graph model; Formation factors; Interdisciplinary;

机译：协作创新网络;指数随机图模型;形成因素;跨学科;

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Research on Formation Factors of Interdisciplinary Collaborative Innovation Network in Universities Based on Exponential Random Graph Model

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