Abstract: This paper provide a new way which analyzes the characters of in-degree of every phases in the process of cross-disciplinary in patent citation networks.To clarify this idea further, a example of 8608 patents of graphene technology is proposed to construct patent citation network. The results show that the in-degree distribution follows the power law when the technology is applied in the same field. And preferential attachment mechanism works well. While The in-degree distribution disobey power law when the technology is applied across various fields. The preferential attachment doesn’t work so well. The method proposed is helpful to identify a technology’s application of cross-disciplinary. Which will give suggestions to enterprises for R&D and government for policy made. Thus it will promote the multi-domain application of technology.

摘要： 文章提出了一种利用网络度分布特征识别技术应用领域转移的新思路。通过构建专利引用网络,计算网络的入度分布特征，判断技术应用领域的转移。并以石墨烯技术的8608个专利族构建了专利引用网络进行实证分析。实证分析结果表明：当技术在相同领域应用时，专利引用网络入度分布服从幂律分布，优先连接机制作用明显；当技术出现跨领域应用且领域覆盖范围广泛时，优先连接机制作用减弱，节点入度不再符合幂律分布。本文提出的方法有助于技术跨领域应用的快速识别，为企业研发方向选择及问题解决方案获取提供支持，也可为政府的政策制定提供建议，进而促进技术的多领域应用。