With the increasing complexity of scientific research, it has gradually turned to a collaborative approach, which can promote knowledge sharing, resource sharing and improve the efficiency of scientific research achievements. Therefore, It is of great significance to study the internal organizational structure and evolution mechanism of scientific research collaboration, which plays a crucial role in the management of scientific research work and the formulation of scientific and technological policies. This paper focuses on three aspects: core node evaluation, community detection and visual layout algorithm of scientific research collaboration network, which is constructed based on the network embedding of the scientific research achievements’ attributes. Considering network topology and node heterogeneity, a core node evaluation method is proposed, and a community detection algorithm and a visual layout algorithm is improved to display the community structure of scientific research collaboration network from many aspects. The experimental results show that the proposed method can more clearly show the internal structure of scientific research collaboration community.

随着科学研究的日益复杂，它已逐渐转向一种协作方法，这种方法可以促进知识共享，资源共享并提高科学研究成果的效率。因此，研究科研合作的内部组织结构和演进机制具有十分重要的意义，它对科研工作的管理和科技政策的制定起着至关重要的作用。本文从科研成果属性的网络嵌入出发，重点研究了科研协作网络的核心节点评价，社区检测和视觉布局算法三个方面。考虑到网络拓扑和节点异构性，提出了一种核心节点评估方法，并从多个方面对社区检测算法和视觉布局算法进行了改进，以显示科研协作网络的社区结构。实验结果表明，该方法可以更清晰地显示科研协作社区的内部结构。