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.

中文翻译：

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基于 arXiv 的概念网络中科学创新涌现的嵌入技术和网络分析

新颖性是创新和发现的固有部分。此类过程可被视为新思想的出现或现有思想之间非典型联系的出现。这种联系的重要性暗示了通过思想空间中的网络或图形表示来研究创新。在这种表示中，一个图节点对应于相关概念（想法），而两个节点之间的边意味着相应的概念已在公共上下文中使用。在这项研究中，我们解决了关于识别可能出现创新的现有概念之间的边缘的可能性的问题。为此，我们使用了从 2007 年 4 月到 2019 年 9 月的 120 万份 arXiv.org 手稿的完整科学知识图谱。我们使用 ScienceWISE.info 平台为他们提取相关概念。结合在复杂网络科学和图嵌入中开发的方法，我们讨论了可能出现创新的科学知识领域中边（链接）的可预测性。