R: Construct the adjacency matrix for a topic graph

build_graph {topicmodels} | R Documentation

## Construct the adjacency matrix for a topic graph

### Description

The lasso is used to determine which edges are present in a topic graph. The original R code was written by David M. Blei and co-authors and is available together with the C code for fitting the CTM.

### Usage

    build_graph(x, lambda, and = TRUE)

### Arguments

`x` | Object of class `"CTM"`.
`lambda` | Numeric in [0,1] indicating the relative bound on the L1-norm of the parameters.
`and` | Logical; if `TRUE` the graph is computed by taking the intersection of the neighbors, otherwise the union is determined.

### Value

Returns an adjacency matrix for the topics versus topics graph.

### Author(s)

David M. Blei, modified by Bettina Gruen.

### References

Blei D.M., Lafferty J.D. (2007). A Correlated Topic Model of Science. The Annals of Applied Statistics, 1(1), 17–35.

[Package topicmodels version 0.2-11 Index]