论文标题
基于ARXIV的概念网络中科学创新出现的嵌入技术和网络分析
Embedding technique and network analysis of scientific innovations emergence in an arXiv-based concept network
论文作者
论文摘要
新颖性是创新和发现的固有部分。这样的过程可以被视为新思想的外观，也可以视为现有连接之间非典型联系的出现。这种联系的重要性暗示了通过网络或图形表示思想空间中的图表来调查创新的重要性。在这样的表示形式中，图节点对应于相关概念（IDEA），而两个节点之间的边缘意味着相应的概念已在共同的上下文中使用。在这项研究中，我们解决了一个问题，即可能确定创新可能出现的现有概念之间的边缘。为此，我们使用了有据可查的科学知识格局，该景观的12m arxiv.org手稿的日期为从2007年4月开始，直到2019年9月。我们使用ScienceWise.info平台为他们提取相关概念。在复杂网络科学和图形嵌入中开发的方法，我们讨论了边缘（链接）在可能出现创新的科学知识格局上的可预测性（链接）。
Novelty is an inherent part of innovations and discoveries. Such processes may be considered as an appearance of new ideas or as an emergence of atypical connections between the existing ones. The importance of such connections hints for investigation of innovations through network or graph representation in the space of ideas. In such representation, a graph node corresponds to the relevant concept (idea), whereas an edge between two nodes means that the corresponding concepts have been used in a common context. In this study we address the question about a possibility to identify the edges between existing concepts where the innovations may emerge. To this end, we use a well-documented scientific knowledge landscape of 1.2M arXiv.org manuscripts dated starting from April 2007 and until September 2019. We extract relevant concepts for them using the ScienceWISE.info platform. Combining approaches developed in complex networks science and graph embedding, we discuss the predictability of edges (links) on the scientific knowledge landscape where the innovations may appear.
