Analyzing and visualizing scientific research collaboration network with core node evaluation and community detection based on network embedding

摘要

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. (c) 2021 Elsevier B.V. All rights reserved.