nnNetwork: nnNetwork()
In seanrsilver/novnet: Novel Networks Project: Tools and Utilities

Description Usage Arguments

A visualization function, which produces a network-style visualization from a properly formed Novel Networks data set. nnNetwork() chains

nnNetwork(filename, include.all = TRUE, set.voice = NA,
  local = FALSE, layout.with = "fr", plot.community = "spinglass",
  context = 15, multiplex = FALSE, token.threshold = 1,
  metadata.off = NA, sample = FALSE, vertex.label.thresh = 1,
  bg.col = "white")

`filename`	<- "Frankenstein"
`include.all`	<- TRUE
`set.voice`	<- NA
`local`	<- TRUE
`layout.with`	Character. Sets layout algorithm. Accepts "fr" (Fruchterman-Reingold, default), "gem" (GEM force-directed), "kk" (Kamada-Kawai), "tree", "circle", "sphere", "lgl" (Large Graph).
`plot.community`	NA for no community detection, "spinglass" for simulated annealing, or "walktrap" for a random walk.
`context`	Counting number. How many words from each name should the function seek others? Default = 15.
`multiplex`	Logical vector of length one. Return a multiplex graph? Default = FALSE.
`token.threshold`	Numeric. Removes characters with token count < x from graph. Default = 1.
`metadata.off`	Default = NA. Expects a length-two vector of c("meta", "VALUE"), or matrix of vectors, to cull characters by metadata category. Useful for removing non-characters, generating subgraphs by gender, etc...
`sample`	Default = FALSE. A logical vector indicating whether the .txt should be randomized (i.e. words scrambled). Useful for checking whether modularity results are statistically meaningful.
`vertex.label.thresh`	Numeric (Default = 1). Only vertices >= this value will be labeled.
`bg.col`	Character. Sets background color for plot. Default = "white".
`filename`	Character string of text name, with associated Char.csv and .txt files.
`include.all`	Logical vector or numerical range. If TRUE (default), processes whole text. If range (i.e. 1:18), processes only those chapters. If FALSE, will offer a prompt to determine a range.
`set.voice`	NA, or character string. If NA, Char.csv pulls voice from associated *Char.csv file. If "third", will ignore first-person pronouns. If "first", will attempt to transform all non-dialogue "I" and "me" into narrator, signaled on Char.csv file as "TextEgo".
`local`	Logical vector. If FALSE (default), looks in Google Drive for files. If TRUE, looks for filename in a folder with path data/filename/.