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_attributes. See the help pages of the
rDNA package for more details.
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/visone export now uses colors and attributes from the attribute manager.
- Fixing bugs with two-mode/affiliation network export.
- Fixing bugs with the
- Implementing all normalization methods (
- Adding new normalization methods for two-mode networks (
- Improved support for integer qualifier variables with
congruenceand conflict networks.
- Normalization also for
- Preview of excluded values.
- Document meta-data (
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.
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.