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dc.contributor.author
Sarigöl, Emre
dc.contributor.author
Pfitzner, René
dc.contributor.author
Scholtes, Ingo
dc.contributor.author
Garas, Antonios
dc.contributor.author
Schweitzer, Frank
dc.date.accessioned
2019-04-05T16:08:54Z
dc.date.available
2017-06-11T14:09:22Z
dc.date.available
2019-04-05T16:08:54Z
dc.date.issued
2014
dc.identifier.issn
2193-1127
dc.identifier.other
10.1140/epjds/s13688-014-0009-x
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/93305
dc.identifier.doi
10.3929/ethz-b-000093305
dc.description.abstract
We address the question to what extent the success of scientific articles is due to social influence. Analyzing a data set of over 100,000 publications from the field of Computer Science, we study how centrality in the coauthorship network differs between authors who have highly cited papers and those who do not. We further show that a Machine Learning classifier, based only on coauthorship network centrality metrics measured at the time of publication, is able to predict with high precision whether an article will be highly cited five years after publication. By this we provide quantitative insight into the social dimension of scientific publishing – challenging the perception of citations as an objective, socially unbiased measure of scientific success.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
SpringerOpen
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Scientometrics
en_US
dc.subject
Complex networks
en_US
dc.title
Predicting Scientific Success Based on Coauthorship Networks
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
EPJ Data Science
ethz.journal.volume
3
en_US
ethz.pages.start
9
en_US
ethz.size
16 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
Payoffs of local and global network structures: reproductive career paths in wild house mice
en_US
ethz.grant
Foundational Research on MULTIlevel comPLEX networks and systems
en_US
ethz.publication.place
Heidelberg
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03682 - Schweitzer, Frank / Schweitzer, Frank
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03682 - Schweitzer, Frank / Schweitzer, Frank
ethz.grant.agreementno
140644
ethz.grant.agreementno
317532
ethz.grant.fundername
SNF
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
Interdisziplinäres Projekt
ethz.grant.program
FP7
ethz.date.deposited
2017-06-11T14:09:58Z
ethz.source
ECIT
ethz.identifier.importid
imp593652966051585517
ethz.ecitpid
pub:146641
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-14T16:18:04Z
ethz.rosetta.lastUpdated
2020-02-15T18:20:02Z
ethz.rosetta.versionExported
true
ethz.COinS
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