Phylomemetic patterns in science evolution--the rise and fall of scientific fields.

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 a...

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Main Authors: David Chavalarias, Jean-Philippe Cointet
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3569444?pdf=render
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author David Chavalarias
Jean-Philippe Cointet
author_facet David Chavalarias
Jean-Philippe Cointet
author_sort David Chavalarias
collection DOAJ
description 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.
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spelling doaj.art-e554cff9dad74704bd4ddd3aa0c5d3ec2022-12-21T23:33:25ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0182e5484710.1371/journal.pone.0054847Phylomemetic patterns in science evolution--the rise and fall of scientific fields.David ChavalariasJean-Philippe CointetWe 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.http://europepmc.org/articles/PMC3569444?pdf=render
spellingShingle David Chavalarias
Jean-Philippe Cointet
Phylomemetic patterns in science evolution--the rise and fall of scientific fields.
PLoS ONE
title Phylomemetic patterns in science evolution--the rise and fall of scientific fields.
title_full Phylomemetic patterns in science evolution--the rise and fall of scientific fields.
title_fullStr Phylomemetic patterns in science evolution--the rise and fall of scientific fields.
title_full_unstemmed Phylomemetic patterns in science evolution--the rise and fall of scientific fields.
title_short Phylomemetic patterns in science evolution--the rise and fall of scientific fields.
title_sort phylomemetic patterns in science evolution the rise and fall of scientific fields
url http://europepmc.org/articles/PMC3569444?pdf=render
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