Aleš Žiberna (Avtor)

Povzetek

The aim of the paper is to compare and evaluate different approaches to detecting regular equivalence classes of valued networks. The evaluated approaches include different versions of REGE (indirect approaches) and generalized blockmodeling approaches (direct approaches). In addition to the approaches designed to detect regular equivalence, some approaches designed to detect structural equivalence are also included for comparison. The evaluation is done by means of simulations. Networks of 11 and 25 units were generated based on different known (max-)regular blockmodels and partitions. The obtained partitions were compared to the original (known) partition using the Adjusted Rand Index. The results show that homogeneity blockmodeling, implicit blockmodeling and REGE are usually the best approaches for detecting regular equivalence. The most surprising result is that methods for detecting structural equivalence preformed relatively well on networks generated based on (max)-regular equivalence, better then several approaches designed to detect regular equivalence.

Ključne besede

Omrežja;Bločno modeliranje;

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: 28666717 Povezava se bo odprla v novem oknu
ISSN: 1854-0023
Št. ogledov: 798
Št. prenosov: 194
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: Networks;Blockmodeling;
URN: URN:NBN:SI
Vrsta dela (COBISS): Delo ni kategorizirano
Strani: str. 99-134
Letnik: ǂVol. ǂ6
Zvezek: ǂno. ǂ2
Čas izdaje: 2009
Ključne besede (UDK): social sciences;družbene vede;methods of the social sciences;metode družbenih ved;
ID: 1469878
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