The classical origin of modern mathematics

Floriana Gargiulo; Caen Auguste; Renaud Lambiotte; Timoteo Carletti

doi:10.1140/epjds/s13688-016-0088-y

The classical origin of modern mathematics

Floriana Gargiulo, Caen Auguste, Renaud Lambiotte, Timoteo Carletti

Research output: Contribution to journal › Article › peer-review

129 Downloads (Pure)

Abstract

This paper introduces a data-driven methodology to study the historical evolutionof mathematical thinking and its spatial spreading. To do so, we have collectedand integrated data from di erent online academic datasets. In its nal form, thedatabase includes a large number (N~200K) of advisor-student relationships,with affiliations and keywords on their research topic, over several centuries, fromthe 14th century until today. We focus on two di erent issues, the evolvingimportance of countries and of the research disciplines over time. Moreover westudy the database at three levels, its global statistics, the mesoscale networksconnecting countries and disciplines, and the genealogical level.

Original language	English
Article number	26
Pages (from-to)	1-15
Number of pages	15
Journal	EPJ Data Science
Volume	5
Issue number	26
Early online date	16 Aug 2016
DOIs	https://doi.org/10.1140/epjds/s13688-016-0088-y https://doi.org/10.1140/epjds/s13688-016-0088-y
Publication status	Published - 16 Aug 2016

Keywords

academic genealogies
history of mathematics
directed acyclic graphs

Access to Document

MathGen_Resubmission_FinalSubmitted manuscript, 242 KB
art%3A10.1140%2Fepjds%2Fs13688-016-0088-yFinal published version, 2.38 MB

https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-016-0088-y

Cite this

@article{7468e2e855ce4ae3b24c6a30d46a168e,

title = "The classical origin of modern mathematics",

abstract = "This paper introduces a data-driven methodology to study the historical evolutionof mathematical thinking and its spatial spreading. To do so, we have collectedand integrated data from di erent online academic datasets. In its nal form, thedatabase includes a large number (N~200K) of advisor-student relationships,with affiliations and keywords on their research topic, over several centuries, fromthe 14th century until today. We focus on two di erent issues, the evolvingimportance of countries and of the research disciplines over time. Moreover westudy the database at three levels, its global statistics, the mesoscale networksconnecting countries and disciplines, and the genealogical level.",

keywords = "academic genealogies, history of mathematics, directed acyclic graphs",

author = "Floriana Gargiulo and Caen Auguste and Renaud Lambiotte and Timoteo Carletti",

year = "2016",

month = aug,

day = "16",

doi = "10.1140/epjds/s13688-016-0088-y",

language = "English",

volume = "5",

pages = "1--15",

journal = "EPJ Data Science",

issn = "2193-1127",

publisher = "Springer Science + Business Media",

number = "26",

}

TY - JOUR

T1 - The classical origin of modern mathematics

AU - Gargiulo, Floriana

AU - Auguste, Caen

AU - Lambiotte, Renaud

AU - Carletti, Timoteo

PY - 2016/8/16

Y1 - 2016/8/16

N2 - This paper introduces a data-driven methodology to study the historical evolutionof mathematical thinking and its spatial spreading. To do so, we have collectedand integrated data from di erent online academic datasets. In its nal form, thedatabase includes a large number (N~200K) of advisor-student relationships,with affiliations and keywords on their research topic, over several centuries, fromthe 14th century until today. We focus on two di erent issues, the evolvingimportance of countries and of the research disciplines over time. Moreover westudy the database at three levels, its global statistics, the mesoscale networksconnecting countries and disciplines, and the genealogical level.

AB - This paper introduces a data-driven methodology to study the historical evolutionof mathematical thinking and its spatial spreading. To do so, we have collectedand integrated data from di erent online academic datasets. In its nal form, thedatabase includes a large number (N~200K) of advisor-student relationships,with affiliations and keywords on their research topic, over several centuries, fromthe 14th century until today. We focus on two di erent issues, the evolvingimportance of countries and of the research disciplines over time. Moreover westudy the database at three levels, its global statistics, the mesoscale networksconnecting countries and disciplines, and the genealogical level.

KW - academic genealogies

KW - history of mathematics

KW - directed acyclic graphs

UR - http://www.scopus.com/inward/record.url?scp=84983526975&partnerID=8YFLogxK

U2 - 10.1140/epjds/s13688-016-0088-y

DO - 10.1140/epjds/s13688-016-0088-y

M3 - Article

AN - SCOPUS:84983526975

SN - 2193-1127

VL - 5

SP - 1

EP - 15

JO - EPJ Data Science

JF - EPJ Data Science

IS - 26

M1 - 26

ER -

The classical origin of modern mathematics

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Mobility, dynamics and social networks

PAI n°P7/19 - DYSCO: Dynamical systems, control and optimization (DYSCO)

Auguste Caen

Majority of mathematicians hail from just 24 scientific ‘families’

MOESM1 of The classical origin of modern mathematics

Cite this

The classical origin of modern mathematics

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Mobility, dynamics and social networks

PAI n°P7/19 - DYSCO: Dynamical systems, control and optimization (DYSCO)

Activities

Auguste Caen

Press/Media

Majority of mathematicians hail from just 24 scientific ‘families’

Datasets

MOESM1 of The classical origin of modern mathematics

Cite this