Katherine Faust (Avtor)

Povzetek

This paper demonstrates limitations in usefulness of the triad census for studying similarities among local structural properties of social networks. A triad census succinctly summarizes the local structure of a network using the frequencies of sixteen isomorphism classes of triads (sub-graphs of three nodes). The empirical base for this study is a collection of 51 social networks measuring different relational contents (friendship, advice, agonistic encounters, victories in fights, dominance relations, and so on) among a variety of species (humans, chimpanzees, hyenas, monkeys, ponies, cows, and a number of bird species). Results show that, in aggregate, similarities among triad censuses of these empirical networks are largely explained by nodal and dyadic properties - the density of the network and distributions of mutual, asymmetric, and null dyads. These results remind us that the range of possible network-level properties is highly constrained by the size and density of the network and caution should be taken in interpreting higher order structural properties when they are largely explained by local network features.

Ključne besede

Družbena omrežja;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FDV - Fakulteta za družbene vede
Založnik: Fakulteta za družbene vede
UDK: 303
COBISS: 25332317 Povezava se bo odprla v novem oknu
ISSN: 1854-0023
Št. ogledov: 232
Št. prenosov: 47
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: Neznan jezik
Sekundarne ključne besede: Social networks;
URN: URN:NBN:SI
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: str. 185-216
Letnik: ǂVol. ǂ3
Zvezek: ǂno. ǂ2
Čas izdaje: 2006
Ključne besede (UDK): social sciences;družbene vede;methods of the social sciences;metode družbenih ved;
ID: 40641