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Comparing social networks: size, density, and local structure
ID Faust, Katherine (Author)

URLURL - Presentation file, Visit http://mrvar.fdv.uni-lj.si/pub/mz/mz3.1/faust.pdf This link opens in a new window

Abstract
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.

Language:English
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:FDV - Faculty of Social Sciences
Year:2006
Number of pages:Str. 185-216
Numbering:Vol. 3, no. 2
PID:20.500.12556/RUL-8447 This link opens in a new window
UDC:303
ISSN on article:1854-0023
COBISS.SI-ID:25332317 This link opens in a new window
Publication date in RUL:11.07.2014
Views:525
Downloads:57
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Record is a part of a journal

Title:Advances in methodology and statistics
Shortened title:Metodol. zv.
Publisher:Fakulteta za družbene vede
ISSN:1854-0023
COBISS.SI-ID:215795712 This link opens in a new window

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