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User David Chavalarias
title Phylomemetic Patterns in Science Evolution—The Rise and Fall of Scientific Fields
Authors David Chavalarias & Jean-Philippe Cointet
Source PLoS One
Year 2013
Type Journal
Type of publication MOMA

Optional Infos

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.
Link http://www.plosone.org/article/authors/info%3Adoi%2F10.1371%2Fjournal.pone.0054847
Bibtex
@article{10.1371/journal.pone.0054847,
author = {Chavalarias, , David AND Cointet, , Jean-Philippe},
journal = {PLoS ONE},
publisher = {Public Library of Science},
title = {Phylomemetic Patterns in Science Evolution—The Rise and Fall of Scientific Fields},
year = {2013},
month = {02},
volume = {8},
url = {http://dx.doi.org/10.1371%2Fjournal.pone.0054847},
pages = {e54847},
abstract = {<p>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 <italic>phylomemetic networks</italic> or <italic>phylomemies</italic>, 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 <italic>density</italic> -, 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 <italic>quantitative epistemology</italic>, 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.</p>},
number = {2},
doi = {10.1371/journal.pone.0054847}
}




Created Tuesday 12 February, 2013 17:33:50


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