A portion of the phonological network examined in Vitevitch (2008).

Depicted are the word *speech*, phonological neighbors of *speech*, and the phonological neighbors of those neighbors. It is taken from spreadr package.

Usage

speech

Format

Adjacency dgCMatrix representing an unweighted directed graph. Inside this adjacency matrix, each row and column of the matrix represents a node in the graph. There are 34 nodes and 96 edges, and no self-loops inside the graph.

References

Chan, K. Y., & Vitevitch, M. S. (2009). The influence of the phonological neighborhood clustering coefficient on spoken word recognition. *Journal of experimental psychology: Human perception and performance*, *35*(6), 1934–1949. https://doi.org/10.1037/a0016902.

Siew C. S. Q. (2019). spreadr: An R package to simulate spreading activation in a network. *Behavior research methods*, *51*(2), 910–929. https://doi.org/10.3758/s13428-018-1186-5.

Examples

library(labyrinth)

data("speech", package = "labyrinth")

dim(speech)
#> [1] 34 34

# Draw the network plots using igraph
# \donttest{
library(igraph)
speech_graph <- graph_from_adjacency_matrix(as.matrix(speech))
plot(speech_graph)

# }