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Author Gargiulo, Floriana ♦ Caen, Auguste ♦ Lambiotte, Renaud ♦ Carletti, Timoteo
Source Paperity
Content type Text
Publisher Springer Berlin Heidelberg
File Format PDF ♦ HTM / HTML
Copyright Year ©2016
Abstract 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 (\(N\sim200\mbox{K}\)) 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.
Learning Resource Type Article
Publisher Date 2016-12-01
Journal EPJ Data Science
Volume Number 5
Issue Number 1