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摘要翻译：
为了提高现代社会的生活质量，必须缩小基础研究与应用之间的距离，应用在塑造当今社会中的关键作用促使我们寻求对它们的理解。然而，现有的研究忽视了大学与产业互动的网络特征。在这里，我们使用最先进的网络理论方法来分析所谓框架方案中的这种相互作用----该倡议规定了欧洲联盟研究和技术发展的优先事项。特别是，我们在第五框架计划(FP5)中研究公司和科学机构发挥的作用，以及它们如何促进加强研究与工业之间的关系。我们的方法提供了定量证据，表明虽然企业规模是等级组织的，但大学和研究组织可以防止网络分裂，为有效的知识转移铺平道路。
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英文标题：
《The interplay of university and industry through the FP5 network》
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作者：
J. A. Almendral, J. G. Oliveira, L. L\'opez, M. A. F. Sanju\'an, and
J. F. F. Mendes
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最新提交年份：
2007
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分类信息：
一级分类：Physics 物理学
二级分类：Physics and Society 物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Physics 物理学
二级分类：Statistical Mechanics 统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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一级分类：Physics 物理学
二级分类：Data Analysis, Statistics and Probability 数据分析、统计与概率
分类描述：Methods, software and hardware for physics data analysis: data processing and storage; measurement methodology; statistical and mathematical aspects such as parametrization and uncertainties.
物理数据分析的方法、软硬件：数据处理与存储；测量方法；统计和数学方面，如参数化和不确定性。
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英文摘要：
To improve the quality of life in a modern society it is essential to reduce the distance between basic research and applications, whose crucial roles in shaping today's society prompt us to seek their understanding. Existing studies on this subject, however, have neglected the network character of the interaction between university and industry. Here we use state-of-the-art network theory methods to analyze this interplay in the so-called Framework Programme--an initiative which sets out the priorities for the European Union's research and technological development. In particular we study in the 5th Framework Programme (FP5) the role played by companies and scientific institutions and how they contribute to enhance the relationship between research and industry. Our approach provides quantitative evidence that while firms are size hierarchically organized, universities and research organizations keep the network from falling into pieces, paving the way for an effective knowledge transfer.
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PDF链接：
https://arxiv.org/pdf/705.0353
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