| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document

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
 
URL https://journals.aps.org/prx/abstract/10.1103/PhysRevX.4.041036
 
Language:English
Work type:Scientific work (r2)
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
Year of publishing:2014
Publication status in journal:Published
Article version:Publisher's version of article
Number of pages:str. 1-9
Numbering:št. 4, Letn. 4
ISSN:2160-3308
UDC:53
ISSN on article:2160-3308
COBISS.SI-ID:20976904 New window
DOI:10.1103/PhysRevX.4.041036 New window
NUK URN:URN:SI:UM:DK:VRZBZFIY
Publication date in DKUM:03.08.2017
Views:800
Downloads:354
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:Misc.
:
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:AddThis
AddThis uses cookies that require your consent. Edit consent...

Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Physical Review X
Shortened title:Phys. Rev. X
Publisher:American Physical Society
ISSN:2160-3308
COBISS.SI-ID:19686152 New window

Document is financed by a project

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije (ARRS)
izpis_stevilka_projekta:P5-0027
Name:Prilagajanje slovenskega gospodarstva in razvojna identiteta Slovenije v EU

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
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

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


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica