期刊
EPJ DATA SCIENCE
卷 5, 期 -, 页码 -出版社
SPRINGEROPEN
DOI: 10.1140/epjds/s13688-016-0088-y
关键词
academic genealogies; history of mathematics; directed acyclic graphs
资金
- Interuniversity Attraction Poles Programme
- Belgian State, Science Policy Office
This paper introduces a data-driven methodology to study the historical evolution of mathematical thinking and its spatial spreading. To do so, we have collected and integrated data from different online academic datasets. In its final form, the database includes a large number (N similar to 200K) of advisor-student relationships, with affiliations and keywords on their research topic, over several centuries, from the 14th century until today. We focus on two different issues, the evolving importance of countries and of the research disciplines over time. Moreover we study the database at three levels, its global statistics, the mesoscale networks connecting countries and disciplines, and the genealogical level.
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