Research compendium for 'Mapping the field of cultural evolutionary theory and methods in archaeology using bibliometric methods'
The files at the URL above will generate the results as found in the publication. The files hosted at https://github.com/yesdavid/mapping_CET_in_archaeology are the development versions and may have changed since the paper was published.
David N. Matzig ([email protected])
David N. Matzig, Clemens Schmid, Felix Riede (2023) Mapping the field of cultural evolutionary theory and methods in archaeology using bibliometric methods, Humanities & Social Sciences Communications 10, Article number: 271.
Bibliometrics offers powerful means of visualising and understanding trends within research domains. We here present a first exploratory bibliometric analysis of cultural evolutionary theory and attendant methods as applied specifically within archaeology across the last four decades (1981-2021). Bibliographic coupling network analysis shows that there exists a broadly successive series of author clusters making up the core of this research domain. A broader vernacular version of cultural evolution is also commonly used in thematic or regional research traditions that fall outside of cultural evolutionary studies in the strict sense. Our bibliometric networks trace the development of evolutionary archaeology over the last four decades and while they demonstrate the centrality of computational models, they also suggest a stagnation in the application of precisely that suite of methods – phylogenetics – that is central to evolutionary archaeology’s biological counterpart palaeontology. Recent methodological innovations in palaeobiology are, however, offering new ways of integrating artefact shape data directly with phylogenetic applications. This development may usher in a renaissance in artefact phylogenetics and appropriately marco-scale applications of cultural evolutionary theory in archaeology.
Cultural evolution; bibliometrics; literature review; archaeology; phylogenetics; morphometrics
This repository contains code (1_script
) data (2_data
) and for the paper. After downloading, the results can be reproduced using systematic_literature_review.Rproj
and the existing folder structure. All analyses and visualisations presented in this paper were prepared in R version 4.2.1 (2022-06-23) under Ubuntu 18.04.5 LTS (64-bit).
As the data and code in this repository are complete and self-contained, it can be reproduced with only an R environment (tested for R v4.2.1). The necessary package dependencies are documented in the DESCRIPTION file and can be installed manually or automatically with
if(!require("remotes")) install.packages("remotes")
remotes::install_github("yesdavid/mapping_CET_in_archaeology", repos = "https://mran.microsoft.com/snapshot/2022-01-31")
This will install the relevant package dependency versions from January 2022, thanks to Microsoft's CRAN Time Machine.
Code: MIT http://opensource.org/licenses/MIT year: 2023, copyright holder: David Nicolas Matzig
Data: The data has been compiled from Clarivate's Web of Science Core Collection (WoS; www.webofscience.com)