Phylomemetic Patterns in Science Evolution—The Rise and Fall of Scientific Fields

David Chavalarias and Jean-Philippe Cointet

PLOS ONE, 2013, vol. 8, issue 2, 1-11

Abstract: We introduce an automated method for the bottom-up reconstruction of the cognitive evolution of science, based on big-data issued from digital libraries, and modeled as lineage relationships between scientific fields. We refer to these dynamic structures as phylomemetic networks or phylomemies, by analogy with biological evolution; and we show that they exhibit strong regularities, with clearly identifiable phylomemetic patterns. Some structural properties of the scientific fields - in particular their density -, which are defined independently of the phylomemy reconstruction, are clearly correlated with their status and their fate in the phylomemy (like their age or their short term survival). Within the framework of a quantitative epistemology, this approach raises the question of predictibility for science evolution, and sketches a prototypical life cycle of the scientific fields: an increase of their cohesion after their emergence, the renewal of their conceptual background through branching or merging events, before decaying when their density is getting too low.

Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (30)

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0054847 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 54847&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0054847

DOI: 10.1371/journal.pone.0054847

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().