PROCRUSTESnet: PROCRUSTESnet

In networktools: Tools for Identifying Important Nodes in Networks

PROCRUSTESnet

Description

Convenience function for simultaneously plotting two networks containing the same nodes.

Usage

PROCRUSTESnet(
  qgraph_net1,
  qgraph_net2,
  type1 = c("ordinal", "interval", "ratio", "mspline"),
  type2 = type1,
  MDSadj1 = NULL,
  MDSadj2 = NULL,
  stressTxt = F,
  congCoef = F,
  repulse = F,
  repulsion = 1,
  mdsArgs = list(),
  ...
)

Arguments

qgraph_net1	an object of type qgraph
qgraph_net2	an object of type qgraph. Contains the same nodes as qgraph_net2
type1	transformation function for first MDS, defaults to "ordinal"
type2	transformation function for second MDS, defaults to the same as type1
MDSadj1	to use a proximities matrix other than the adjacency matrix stored in qgraph_net1, provide it in this argument
MDSadj2	to use a proximities matrix other than the adjacency matrix stored in qgraph_net2, provide it in this argument
stressTxt	logical. Print the stress value in the lower left corner of the plots?
congCoef	logical. Print the congruence coefficient for the two layouts?
repulse	logical. Add a small repulsion force with wordcloud package to avoid node overlap?
repulsion	scalar for the repulsion force. Larger values add more repulsion
mdsArgs	additional arguments in list format passed to smacof::mds
...	additional arguments passed to qgraph

Details

Each network's layout is determined by multidimensional scaling, and then the layouts are brought into a similar space by using the Procrustes algorithm.

A network plotted with multidimensional scaling can be interpreted based on the distances between nodes. Nodes close together represent closely associated nodes, whereas nodes that are far apart represent unassociated or negatively associated nodes.

The Procrustes algorithm brings the two layouts into a similar space through rotations and dilations that do not impact the fit of the MDS solutions. In this implementation, the second network is rotated and dilated to fit the first.

References

Jones, P. J., Mair, P., & McNally, R. J. (2018). Visualizing psychological networks: A tutorial in R. Frontiers in Psychology, 9, 1742. https://doi.org/10.3389/fpsyg.2018.01742

networktools documentation built on Aug. 23, 2023, 1:06 a.m.