Tobias Kuhn (Avtor), Matjaž Perc (Avtor), Dirk Helbing (Avtor)

Povzetek

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.

Ključne besede

memi;dedovanje;geni;teorija mrež;kompleksni sistemi;memes;inheritance;genes;network science;complex systems;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UM FNM - Fakulteta za naravoslovje in matematiko
UDK: 53
COBISS: 20976904 Povezava se bo odprla v novem oknu
ISSN: 2160-3308
Št. ogledov: 1426
Št. prenosov: 421
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: memi;dedovanje;geni;teorija mrež;kompleksni sistemi;
URN: URN:SI:UM:
Vrsta dela (COBISS): Članek v reviji
Strani: str. 041036-1-041036-9
Letnik: ǂVol. ǂ4
Zvezek: ǂiss. ǂ4
Čas izdaje: 2014
DOI: 10.1103/PhysRevX.4.041036
ID: 10851686