DNA 2.0 beta 19

@leifeld leifeld released this Apr 4, 2017

Re-implemented rDNA support completely and fixed a few minor issues.

With this new release, the statistical computing environment R can be used to extract network data and attributes from DNA right into R. Functions include dna_init, dna_connection, dna_gui, dna_network, and dna_attributes. See the help pages of the rDNA package for more details.


DNA 2.0 beta 18

@leifeld leifeld released this Feb 14, 2017

This beta release includes a complete revision of the network export functions:

  • New graphical user interface for network export, showing everything on one page.
  • Re-implemented visone/graphml, csv, and dl file export.
  • Graphml/visone export now uses colors and attributes from the attribute manager.
  • Fixing bugs with two-mode/affiliation network export.
  • Fixing bugs with the subtract algorithm.
  • Implementing all normalization methods (average activity, Jaccard, and cosine).
  • Adding new normalization methods for two-mode networks (activity and prominence standardization).
  • Improved support for integer qualifier variables with congruence and conflict networks.
  • Normalization also for subtract, combine, congruence, and conflict networks.
  • Preview of excluded values.
  • Document meta-data (author, type, source, or section) can be used as variables during export.
  • Duplicate statements can be excluded at multiple levels.

There is also a revised sample.dna file for testing purposes.

Several things have not been implemented yet and may be added in future versions, in particular new rDNA bindings for importing networks into R, creation of congruence ties nested in documents, additional export formats (including Gephi and Pajek), and dynamic network algorithms.

Update 17 February 2017: The sample.dna file was corrupt and has been replaced.


DNA 1.31

@leifeld leifeld released this Nov 28, 2013 · 235 commits to master since this release

Discourse Network Analyzer 1.31

Release date: 2013-10-07


  • New "subtract" option for the "agreement" field in the network export window. If "subtract" is selected, "combined" ties will be added to the network and "conflict" ties will be deduced from the network. The result is a signed, valued graph with negative values representing more conflict than agreement between actors and with positive values representing more agreement than conflict. In visone, for example, all negative ties can be selected and removed in the attribute manager. In rDNA, "agreement = 'subtract'" will activate the new option.