#' htn: Model and analyze historical text networks
#'
#' The \code{htn} package buils on \code{tei2r} to perform social-network
#' analysis on bibliographic metadata, derived from the Text Creation
#' Partnership collection.
#'
#' @docType package
#' @name htn
#' @author Authors:
#' Michael Gavin and Travis Mullen
#'
#' @section What it does:
#' The basic purpose of the \code{htn} package is to convert bibliographic
#' metadata to networks of co-publication. It comes with a dataset, called
#' \code{tcpEdges}, that includes the names of printers, booksellers,
#' and authors that each document is attributed to. It then converts that
#' data into the form of a social-network graph using the \code{igraph}
#' package.
#'
#' The main functionality of the package is to identify networks and then
#' parse those networks into communities, allowing researchers to identify
#' subsets of the EEBO-TCP corpus based on co-publication data. These
#' subsets can then be downloaded, imported into R, and topic modeled using
#' \code{tei2r}, or analyzed using \code{empson}, which has a variety of
#' functions for text analysis.
#'
#' For a tutorial that walks through the basics, check out the introductory
#' vignette, "Introduction: Getting Started with htn."
#'
#' \strong{Basic operations:}
#' \itemize{
#' \item \code{\link{buildNetwork}}: Convert a \code{tei2r::docList} into
#' a social network graph.
#' \item \code{\link{communitySubnetwork}}: Identify subsets of the TCP
#' collection that correspond to different clusters of co-publication.
#' \item \code{\link{drawGraph}}: Visualize historical text networks.
#' }
#'
#' \strong{Sample Data:}
#' \itemize{
#' \item \code{\link{tcpEdges}}: A dataframe with source-target data over
#' the entire EEBO-TCP Phase I collection.
#'
#' \item \code{\link{tcpPersons}}: A dataframe with name and role identifiers
#' for each person included in the \code{tcpEdges} edge list
#' }
#'
#'
#' @import igraph
#'
#' @docType package
#' @name htn
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