arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.00520physics.hist-phcs.DLphysics.soc-ph
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基于Sphaera语料库的科学知识演化与转化网络研究

Evolution and Transformation of Scientific Knowledge over the Sphaera Corpus: A Network Study

Maryam Zamani, Alejandro Tejedor, Malte Vogl, Florian Krautli, Matteo Valleriani, Holger Kantz

摘要:

我们研究了近代早期科学知识的演变和转变,分析了从15世纪末到17世纪中叶欧洲大学用于教授天文学的350多种不同版本的教科书。这些历史来源构成了Sphaera语料库。通过考察各版本各部分之间的不同语义关系,我们构建了一个由六个层次组成的复合网络,以及由所有层次叠加而成的聚合网络。网络分析揭示了五个不同社区的出现。研究了各层在社区形成中的贡献以及各层社区的性质。通过计算每本书所有传出和传入链接的平均年龄,找到语料库中最有影响力的书籍。一小群版本被认为是知识的传播者,因为它们通过很长的时间间隔将过去的知识连接到未来。此外,我们的分析确定了最具破坏性的书籍。这些书介绍了新的知识,然后被后来出版的几乎所有书籍所采用,直到整个学习阶段结束。作为一种实证检验,对所识典籍内容的历史考察,最终印证了我们所有分析的结果。

英文摘要:

We investigated the evolution and transformation of scientific knowledge in the early modern period, analyzing more than 350 different editions of textbooks used for teaching astronomy in European universities from the late fifteenth century to mid-seventeenth century. These historical sources constitute the Sphaera Corpus. By examining different semantic relations among individual parts of each edition on record, we built a multiplex network consisting of six layers, as well as the aggregated network built from the superposition of all the layers. The network analysis reveals the emergence of five different communities. The contribution of each layer in shaping the communities and the properties of each community are studied. The most influential books in the corpus are found by calculating the average age of all the out-going and in-coming links for each book. A small group of editions is identified as a transmitter of knowledge as they bridge past knowledge to the future through a long temporal interval. Our analysis, moreover, identifies the most disruptive books. These books introduce new knowledge that is then adopted by almost all the books published afterwards until the end of the whole period of study. The historical research on the content of the identified books, as an empirical test, finally corroborates the results of all our analyses.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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