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Genealogical Trees of Scientific Papers
- Source :
- PLoS ONE, Vol 11, Iss 3, p e0150588 (2016), PLoS ONE, PloS one, 11 (3
- Publication Year :
- 2016
- Publisher :
- Public Library of Science (PLoS), 2016.
-
Abstract
- Many results have been obtained when studying scientific papers citations databases in a network perspective. Articles can be ranked according to their current in-degree and their future popularity or citation counts can even be predicted. The dynamical properties of such networks and the observation of the time evolution of their nodes started more recently. This work adopts an evolutionary perspective and proposes an original algorithm for the construction of genealogical trees of scientific papers on the basis of their citation count evolution in time. The fitness of a paper now amounts to its in-degree growing trend and a "dying" paper will suddenly see this trend declining in time. It will give birth and be taken over by some of its most prevalent citing "offspring". Practically, this might be used to trace the successive published milestones of a research field.<br />SCOPUS: ar.j<br />info:eu-repo/semantics/published
- Subjects :
- Databases, Factual
Condensation
Psychologie appliquée
Social Sciences
lcsh:Medicine
Bioinformatics
Biochemistry
01 natural sciences
Field (computer science)
Mathematical and Statistical Techniques
Sociology
Citation analysis
lcsh:Science
Fluids
Multidisciplinary
Applied Mathematics
Simulation and Modeling
Physics
Publications
05 social sciences
Sciences bio-médicales et agricoles
Condensed Matter Physics
Genealogy
Curve Fitting
Pedigree
Trace (semiology)
Social Networks
Social system
Physical Sciences
Social Systems
Learning to rank
Gases
Journal Impact Factor
050904 information & library sciences
Biologie
Phase Transitions
Algorithms
Network Analysis
Research Article
Computer and Information Sciences
States of Matter
Science
Biology
Research and Analysis Methods
Protein Domains
0103 physical sciences
Humans
010306 general physics
lcsh:R
Perspective (graphical)
Biology and Life Sciences
Proteins
Popularity
lcsh:Q
0509 other social sciences
Citation
Mathematical Functions
Mathematics
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....2b98aa935ce0b7349cc310149549c517