dw_assort: Compute the assortativity coefficient of a weighted and...

In wdnet: Weighted and Directed Networks

Compute the assortativity coefficient of a weighted and directed network.

Description

Compute the assortativity coefficient of a weighted and directed network.

Usage

dw_assort(adj, type = c("outin", "inin", "outout", "inout"))

Arguments

adj	is an adjacency matrix of a weighted and directed network.
type	which type of assortativity coefficient to compute: "outin" (default), "inin", "outout" or "inout"?

Value

a scalar of assortativity coefficient

Note

When the adjacency matrix is binary (i.e., directed but unweighted networks), dw_assort returns the assortativity coefficient proposed in Foster et al. (2010).

References

• Foster, J.G., Foster, D.V., Grassberger, P. and Paczuski, M. (2010). Edge direction and the structure of networks. Proceedings of the National Academy of Sciences of the United States, 107(24), 10815–10820.

• Yuan, Y. Zhang, P. and Yan, J. (2021). Assortativity coefficients for weighted and directed networks. Journal of Complex Networks, 9(2), cnab017.

wdnet documentation built on May 29, 2024, 9:32 a.m.