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• W2183283485 abstract "This paper demonstrates limitations in usefulness o f the triad census for studying similarities among local structural proper ties of social networks. A triad census succinctly summarizes the local stru cture of a network using the frequencies of sixteen isomorphism classes of t riads (sub-graphs of three nodes). The empirical base for this study is a collection of 51 social networks measuring different relational contents (f riendship, advice, agonistic encounters, victories in fights, dominanc e 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 empirica l networks are largely explained by nodal and dyadic properties ‐ the dens ity of the network and distributions of mutual, asymmetric, and null dyads . These results remind us that the range of possible network-level propert ies is highly constrained by the size and density of the network and caution should be taken in interpreting higher order structural properties whe n they are largely explained by local network features." @default.
• W2183283485 created "2016-06-24" @default.
• W2183283485 creator A5013955991 @default.
• W2183283485 date "2006-01-01" @default.
• W2183283485 modified "2023-10-10" @default.
• W2183283485 title "Comparing Social Networks: Size, Density, and Local Structure" @default.
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