Show simple item record

dc.contributor.author
Kuhn, Tobias
dc.contributor.author
Perc, Matjaž
dc.contributor.author
Helbing, Dirk
dc.date.accessioned
2019-05-14T12:09:08Z
dc.date.available
2017-06-11T13:30:17Z
dc.date.available
2019-05-14T12:09:08Z
dc.date.issued
2014
dc.identifier.issn
2160-3308
dc.identifier.other
10.1103/PhysRevX.4.041036
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/91867
dc.identifier.doi
10.3929/ethz-b-000091867
dc.description.abstract
Memes are the cultural equivalent of genes that spread across human culture by means of imitation. What makes a meme and what distinguishes it from other forms of information, however, is still poorly understood. Our analysis of memes in the scientific literature reveals that they are governed by a surprisingly simple relationship between frequency of occurrence and the degree to which they propagate along the citation graph. We propose a simple formalization of this pattern and validate it with data from close to 50 million publication records from the Web of Science, PubMed Central, and the American Physical Society. Evaluations relying on human annotators, citation network randomizations, and comparisons with several alternative approaches confirm that our formula is accurate and effective, without a dependence on linguistic or ontological knowledge and without the application of arbitrary thresholds or filters.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
American Physical Society
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.subject
Complex systems
en_US
dc.subject
Interdisciplinary Physics
en_US
dc.subject
Statistical Physics
en_US
dc.title
Inheritance Patterns in Citation Networks Reveal Scientific Memes
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
dc.date.published
2014-11-21
ethz.journal.title
Physical Review X
ethz.journal.volume
4
en_US
ethz.journal.issue
4
en_US
ethz.journal.abbreviated
Phys. rev., X
ethz.pages.start
041036
en_US
ethz.size
9 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
007346597
ethz.publication.place
Woodbury, NY
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03784 - Helbing, Dirk / Helbing, Dirk
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02045 - Dep. Geistes-, Sozial- u. Staatswiss. / Dep. of Humanities, Social and Pol.Sc.::03784 - Helbing, Dirk / Helbing, Dirk
ethz.date.deposited
2017-06-11T13:30:35Z
ethz.source
ECIT
ethz.identifier.importid
imp5936527cb37e389467
ethz.ecitpid
pub:144560
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-15T04:12:06Z
ethz.rosetta.lastUpdated
2020-02-15T19:03:05Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Inheritance%20Patterns%20in%20Citation%20Networks%20Reveal%20Scientific%20Memes&rft.jtitle=Physical%20Review%20X&rft.date=2014&rft.volume=4&rft.issue=4&rft.spage=041036&rft.issn=2160-3308&rft.au=Kuhn,%20Tobias&Perc,%20Matja%C5%BE&Helbing,%20Dirk&rft.genre=article&
 Search via SFX

Files in this item

Thumbnail

Publication type

Show simple item record