Visualizing co-occurances with force-directed diagrams
  
  The contents of this directory demonstrate how co-occurances in a
  text can be visualized through force-directed diagrams.
  
  Concordances are a great way to locate a word in a text and view
  the words on either side of it. They are literally Medieval
  keyword-in-content (KWIC) indexes. The contents of this directory
  builds on the functionality of concordances by identifying the
  words around a given keyword, counts their frequency, builds a
  matrix from them, converts the matrix into a JSON data structure,
  and displays it as a force-directed diagram.
  
  The result is an implmentation of "distant reading" as coined by
  Franco Moretti in Graphs, Maps, Trees: Abstract Models for
  Literary History. The scripts create graphics representing
  concepts in the whole or part of a text. Using this tool a person
  can do finer grained "close reading" by previewing and reviewing
  concepts before and after the traditional reading process.
  
  Considering the increasing amount of freely available full text
  on the Internet, and considering the ubiquitous availability of
  computing horse-power, implementations of distant reading are
  natural conequences.
  
  
  Contents
  
  The contents of this directory include:
  
	* readme.txt - this file
	* bin - the executable CGI scripts
	* etc - the texts used for analysis
	* lib - the Javascript used to render the graphic
	* src - the CGI scripts in a browser-viewable form
  
  
  Acknowledgements
  
  Thanks go to Michael Clark who showed me my first network
  diagrams. Thanks goes to Ed Summers who shared a few of his
  force-directed diagrams with the Code4Lib Community. Thanks go to
  the folks at the Stanford Visualization Lab who created Protovis.
  
  -- 
  Eric Lease Morgan <eric_morgan@infomotions.com>
  December 28, 2010