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Classify dyads in a directed graphs. The relationship between each pair of vertices is measured. It can be in three states: mutual, asymmetric or non-existent.

Usage

dyad_census(graph)

Arguments

graph

The input graph. A warning is given if it is not directed.

Value

A named numeric vector with three elements:

mut

The number of pairs with mutual connections.

asym

The number of pairs with non-mutual connections.

null

The number of pairs with no connection between them.

References

Holland, P.W. and Leinhardt, S. A Method for Detecting Structure in Sociometric Data. American Journal of Sociology, 76, 492–513. 1970.

Wasserman, S., and Faust, K. Social Network Analysis: Methods and Applications. Cambridge: Cambridge University Press. 1994.

See also

triad_census() for the same classification, but with triples.

Other graph motifs: count_motifs(), motifs(), sample_motifs()

Author

Gabor Csardi csardi.gabor@gmail.com

igraph_dyad_census().

Examples


g <- sample_pa(100)
dyad_census(g)
#> $mut
#> [1] 0
#> 
#> $asym
#> [1] 99
#> 
#> $null
#> [1] 4851
#>