The quantitative description of cultural evolution is a challenging task. The most difficult part of the problem is probably to find the appropriate measurable quantities that can make more quantitative such evasive concepts as, for example, dynamics of cultural movements, behavioral patterns, and traditions of the people. A strategy to tackle this issue is to observe particular features of human activities, i.e., cultural traits, such as names given to newborns. We study the names of babies born in the United States from 1910 to 2012. Our analysis shows that groups of different correlated states naturally emerge in different epochs, and we are able to follow and decrypt their evolution. Although these groups of states are stable across many decades, a sudden reorganization occurs in the last part of the 20th century. We unambiguously demonstrate that cultural evolution of society can be observed and quantified by looking at cultural traits. We think that this kind of quantitative analysis can be possibly extended to other cultural traits: Although databases covering more than one century (such as the one we used) are rare, the cultural evolution on shorter timescales can be studied due to the fact that many human activities are usually recorded in the present digital era.

Cross-correlations of American baby names / Barucca, Paolo; Rocchi, Jacopo; Marinari, Vincenzo; Parisi, Giorgio; RICCI TERSENGHI, Federico. - In: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. - ISSN 0027-8424. - 112:26(2015), pp. 7943-7947. [10.1073/pnas.1507143112]

Cross-correlations of American baby names

MARINARI, Vincenzo;PARISI, Giorgio;RICCI TERSENGHI, Federico
2015

Abstract

The quantitative description of cultural evolution is a challenging task. The most difficult part of the problem is probably to find the appropriate measurable quantities that can make more quantitative such evasive concepts as, for example, dynamics of cultural movements, behavioral patterns, and traditions of the people. A strategy to tackle this issue is to observe particular features of human activities, i.e., cultural traits, such as names given to newborns. We study the names of babies born in the United States from 1910 to 2012. Our analysis shows that groups of different correlated states naturally emerge in different epochs, and we are able to follow and decrypt their evolution. Although these groups of states are stable across many decades, a sudden reorganization occurs in the last part of the 20th century. We unambiguously demonstrate that cultural evolution of society can be observed and quantified by looking at cultural traits. We think that this kind of quantitative analysis can be possibly extended to other cultural traits: Although databases covering more than one century (such as the one we used) are rare, the cultural evolution on shorter timescales can be studied due to the fact that many human activities are usually recorded in the present digital era.
2015
Clustering; Complex systems; Cultural evolution; Cultural traits; Humans; Infant, Newborn; United States; Names; Multidisciplinary
01 Pubblicazione su rivista::01a Articolo in rivista
Cross-correlations of American baby names / Barucca, Paolo; Rocchi, Jacopo; Marinari, Vincenzo; Parisi, Giorgio; RICCI TERSENGHI, Federico. - In: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. - ISSN 0027-8424. - 112:26(2015), pp. 7943-7947. [10.1073/pnas.1507143112]
File allegati a questo prodotto
File Dimensione Formato  
Barucca_Cross-correlations_2015.pdf

solo gestori archivio

Note: pdf
Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.97 MB
Formato Adobe PDF
1.97 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/839156
Citazioni
  • ???jsp.display-item.citation.pmc??? 4
  • Scopus 17
  • ???jsp.display-item.citation.isi??? 18
social impact