A network framework of cultural history

Maximilian Schich, Chaoming Song, Yong Yeol Ahn, Alexander Mirsky, Mauro Martino, Albert László Barabási, Dirk Helbing

Research output: Contribution to journalArticle

59 Citations (Scopus)

Abstract

The emergent processes driving cultural history are a product of complex interactions among large numbers of individuals, determined by difficult-to-quantify historical conditions. To characterize these processes, we have reconstructed aggregate intellectual mobility over two millennia through the birth and death locations of more than 150,000 notable individuals. The tools of network and complexity theory were then used to identify characteristic statistical patterns and determine the cultural and historical relevance of deviations. The resulting network of locations provides a macroscopic perspective of cultural history, which helps us to retrace cultural narratives of Europe and North America using large-scale visualization and quantitative dynamical tools and to derive historical trends of cultural centers beyond the scope of specific events or narrow time intervals.

Original languageEnglish (US)
Pages (from-to)558-562
Number of pages5
JournalScience
Volume345
Issue number6196
DOIs
StatePublished - Aug 1 2014

Fingerprint

History
North America
Parturition

ASJC Scopus subject areas

  • General
  • Medicine(all)

Cite this

Schich, M., Song, C., Ahn, Y. Y., Mirsky, A., Martino, M., Barabási, A. L., & Helbing, D. (2014). A network framework of cultural history. Science, 345(6196), 558-562. https://doi.org/10.1126/science.1240064

A network framework of cultural history. / Schich, Maximilian; Song, Chaoming; Ahn, Yong Yeol; Mirsky, Alexander; Martino, Mauro; Barabási, Albert László; Helbing, Dirk.

In: Science, Vol. 345, No. 6196, 01.08.2014, p. 558-562.

Research output: Contribution to journalArticle

Schich, M, Song, C, Ahn, YY, Mirsky, A, Martino, M, Barabási, AL & Helbing, D 2014, 'A network framework of cultural history', Science, vol. 345, no. 6196, pp. 558-562. https://doi.org/10.1126/science.1240064
Schich M, Song C, Ahn YY, Mirsky A, Martino M, Barabási AL et al. A network framework of cultural history. Science. 2014 Aug 1;345(6196):558-562. https://doi.org/10.1126/science.1240064
Schich, Maximilian ; Song, Chaoming ; Ahn, Yong Yeol ; Mirsky, Alexander ; Martino, Mauro ; Barabási, Albert László ; Helbing, Dirk. / A network framework of cultural history. In: Science. 2014 ; Vol. 345, No. 6196. pp. 558-562.
@article{650276dcda334fe0aa4af8a416bcad75,
title = "A network framework of cultural history",
abstract = "The emergent processes driving cultural history are a product of complex interactions among large numbers of individuals, determined by difficult-to-quantify historical conditions. To characterize these processes, we have reconstructed aggregate intellectual mobility over two millennia through the birth and death locations of more than 150,000 notable individuals. The tools of network and complexity theory were then used to identify characteristic statistical patterns and determine the cultural and historical relevance of deviations. The resulting network of locations provides a macroscopic perspective of cultural history, which helps us to retrace cultural narratives of Europe and North America using large-scale visualization and quantitative dynamical tools and to derive historical trends of cultural centers beyond the scope of specific events or narrow time intervals.",
author = "Maximilian Schich and Chaoming Song and Ahn, {Yong Yeol} and Alexander Mirsky and Mauro Martino and Barab{\'a}si, {Albert L{\'a}szl{\'o}} and Dirk Helbing",
year = "2014",
month = "8",
day = "1",
doi = "10.1126/science.1240064",
language = "English (US)",
volume = "345",
pages = "558--562",
journal = "Science",
issn = "0036-8075",
publisher = "American Association for the Advancement of Science",
number = "6196",

}

TY - JOUR

T1 - A network framework of cultural history

AU - Schich, Maximilian

AU - Song, Chaoming

AU - Ahn, Yong Yeol

AU - Mirsky, Alexander

AU - Martino, Mauro

AU - Barabási, Albert László

AU - Helbing, Dirk

PY - 2014/8/1

Y1 - 2014/8/1

N2 - The emergent processes driving cultural history are a product of complex interactions among large numbers of individuals, determined by difficult-to-quantify historical conditions. To characterize these processes, we have reconstructed aggregate intellectual mobility over two millennia through the birth and death locations of more than 150,000 notable individuals. The tools of network and complexity theory were then used to identify characteristic statistical patterns and determine the cultural and historical relevance of deviations. The resulting network of locations provides a macroscopic perspective of cultural history, which helps us to retrace cultural narratives of Europe and North America using large-scale visualization and quantitative dynamical tools and to derive historical trends of cultural centers beyond the scope of specific events or narrow time intervals.

AB - The emergent processes driving cultural history are a product of complex interactions among large numbers of individuals, determined by difficult-to-quantify historical conditions. To characterize these processes, we have reconstructed aggregate intellectual mobility over two millennia through the birth and death locations of more than 150,000 notable individuals. The tools of network and complexity theory were then used to identify characteristic statistical patterns and determine the cultural and historical relevance of deviations. The resulting network of locations provides a macroscopic perspective of cultural history, which helps us to retrace cultural narratives of Europe and North America using large-scale visualization and quantitative dynamical tools and to derive historical trends of cultural centers beyond the scope of specific events or narrow time intervals.

UR - http://www.scopus.com/inward/record.url?scp=84905906508&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84905906508&partnerID=8YFLogxK

U2 - 10.1126/science.1240064

DO - 10.1126/science.1240064

M3 - Article

C2 - 25082701

AN - SCOPUS:84905906508

VL - 345

SP - 558

EP - 562

JO - Science

JF - Science

SN - 0036-8075

IS - 6196

ER -