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Title:Inheritance patterns in citation networks reveal scientific memes
Authors:ID Kuhn, Tobias (Author)
ID Perc, Matjaž (Author)
ID Helbing, Dirk (Author)
Files:.pdf Physical_Review_X_2014_Kuhn,_Perc,_Helbing_Inheritance_Patterns_in_Citation_Networks_Reveal_Scientific_Memes.pdf (2,85 MB)
MD5: F4B7C1B0B57F86E47DB3987C67CC6B8C
PID: 20.500.12556/dkum/62fd1ecf-7ce1-4011-9ce2-5d54e5baeefd
URL https://journals.aps.org/prx/abstract/10.1103/PhysRevX.4.041036
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
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.
Keywords:memes, inheritance, genes, network science, complex systems
Publication status:Published
Publication version:Version of Record
Year of publishing:2014
Number of pages:str. 1-9
Numbering:Letn. 4, št. 4
PID:20.500.12556/DKUM-67133 New window
ISSN on article:2160-3308
COBISS.SI-ID:20976904 New window
DOI:10.1103/PhysRevX.4.041036 New window
Publication date in DKUM:03.08.2017
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Record is a part of a journal

Title:Physical review
Shortened title:Phys. rev., X
Publisher:American Physical Society
COBISS.SI-ID:19686152 New window

Document is financed by a project

Funder:ARRS - Slovenian Research Agency
Project number:P5-0027
Name:Prilagajanje slovenskega gospodarstva in razvojna identiteta Slovenije v EU


License:CC BY 4.0, Creative Commons Attribution 4.0 International
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:03.08.2017

Secondary language

Keywords:memi, dedovanje, geni, teorija mrež, kompleksni sistemi


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