科学文献的演变作为超稳定的知识状态的演变
Sai Dileep Koneru1, David Rench McCauley2, Michael C Smith2
1The Pennsylvania State University, University Park, PA, United States of America.
PloS one
|July 12, 2023
概括
这项研究将科学知识模型作为一个超稳定的状态,预测通过组合创新新概念的出现. 我们的方法将研究文章与过去和未来的想法连接起来,超越标准引用.
科学领域:
- 超级科学是一种科学.
- 图书统计学 图书统计学
- 科学知识 进化 科学知识 进化
背景情况:
- 确定共同的科学概念和新思想的出现仍然是一个挑战.
- 超科学研究旨在正式化科学研究生命周期和知识转移.
- 了解新的科学概念的产生和采用是至关重要的.
研究的目的:
- 为了建模科学知识的状态,先前的新研究方向.
- 概念化创建新的科学想法作为组合创新.
- 预测科学思想随着时间的推移的演变.
主要方法:
- 使用一种结合自然语言聚类的新方法.
- 采用引用图分析来理解知识网络.
- 建模科学知识作为一个元稳定的状态.
主要成果:
- 成功预测了科学领域内思想的演变.
- 连接单个科学文章的历史和未来的概念.
- 展示了一种超越传统引用分析的方法.
结论:
- 超稳态模型为科学概念的出现提供了洞察力.
- 组合创新是产生新科学思想的关键机制.
- 这种方法提供了一种新的方法来绘制科学知识的轨迹.
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