本頁只刊出中文翻譯與中文說明;英文原文請見下方原文連結。
原文連結
論文資訊
- 類型:已發表論文
- 日期:2021-11-01
摘要
The origins of innovation in science are typically understood using historical narratives that tend to be focused on small sets of influential authors, an approach that is rigorous but limited in scope. Here, we develop a framework for rigorously identifying innovation across an entire scientific field through automated analysis of a corpus of over 6000 documents that includes every paper published in the field of 演化ary medicine. This comprehensive approach allows us to explore 統計 properties of innovation, asking where innovative ideas tend to originate within a field's pre-existing conceptual framework. First, we develop a measure of innovation based on novelty and persistence, quantifying the collective acceptance of novel 語言 and ideas. Second, we study the field's conceptual landscape t
※ 此為已發表論文,全文需透過期刊付費取得