A two-layer team-assembly model for invention networks
A two-layer team-assembly model for invention networks
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DOI：
10.1016/j.physa.2014.07.076
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发表时间：
2012-06
期刊：
影响因子：
--
通讯作者：
H. Inoue
中科院分区：
文献类型：
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作者：
H. Inoue
企业面临着激烈的竞争，因此他们寻求如何最好地提高其创新能力。一种策略是与其他公司合作以加速自身创新。这种公司间合作是由公司所属的发明人进行的。与此同时，发明人似乎也受到了公司之间过去合作的影响。因此，存在两个网络，即发明人和公司网络的相互依赖性。本文讨论了一种复制从日本和美国专利数据中提取的两层网络的度分布模型。该模型复制了具有相互依赖性的两层网络。而且它是唯一使用局部信息的模型，而其他模型必须使用整体信息，这是不现实的。此外，所提出的模型比其他模型更好地复制了经验数据。
Companies are exposed to rigid competition, so they seek how best to improve the capabilities of their innovations. One strategy is to collaborate with other companies in order to speed up their own innovations. Such inter-company collaborations are conducted by inventors belonging to the companies. At the same time, the inventors also seem to be affected by past collaborations between companies. Therefore, interdependency of two networks, namely inventor and company networks, exists.This paper discusses a model that replicates two-layer networks extracted from patent data of Japan and the United States in terms of degree distributions. The model replicates two-layer networks with the interdependency. Moreover it is the only model that uses local information, while other models have to use overall information, which is unrealistic. In addition, the proposed model replicates empirical data better than other models.