An Online Community of Users and Additional Resources
An Online Community of NVivo Users
"NVivo" is a target of online conversation on Twitter, in both formal and company-sponsored discussions as well as informal ones. Above is a screenshot of a social network of discussants (in various clusters) discussing NVivo. (This dataset and related Tweets and other information may be accessed at the NodeXL Graph Gallery. The specific location may be accessed here.)
QSR International on Twitter
QSR International has a formal account on Twitter (@QSRInt). A screenshot from their landing page (https://twitter.com/qsrint) follows. This human-monitored account was started in November 2010.
The company hosts various #nvivochat and other online events. There were 2,158 followers, 1,228 following, and 3,179 Tweets at the top of this screenshot. The members of this community provide support to each other to solve user questions. A text summarization of the Tweetstream (with its nearly 3,200 messages captured) is reflected in the word cloud that follows.
Various users of NVivo engage in hashtagged conversations (#NVivo) and keyword mentions (NVivo) on the Twitter microblogging site. The social norms of exchange are that people who have information will often try to help each other.
Open Shares
Jonathan Schultz has shared some resources on GitHub that enable easier export of informational contents from an NVivo project into SQL: https://github.com/BarraQDA/nvivotools.
Local Communities
There are potentially colleagues nearby who use this software as well.
Some have mentioned having "coding parties" to code data together, in the presence of others...to enable the sharing of knowledge and emotional support.
Some NVivo Resources
QSR International: http://www.qsrinternational.com/
Free Trial Downloads of NVivo: http://www.qsrinternational.com/products_free-trial-software.aspx
Support for NVivo: http://www.qsrinternational.com/support.aspx
Applications of NVivo (Different Use Cases): http://www.qsrinternational.com/nvivo-experts.aspx
Advanced Text Analysis
Auto Mapping Texts for Human-Machine Analysis and Sensemaking:
http://www.slideshare.net/ShalinHaiJew/auto-mapping-texts-for-humanmachine-analysis-and-sensemaking
CASOS' AutoMap: Extract, Analyze and Represent Relational Data from Texts:
http://www.casos.cs.cmu.edu/projects/automap/
CASOS' ORA NetScenes:
http://www.casos.cs.cmu.edu/projects/ora/software.php
CASOS' AutoMap: Extract, Analyze and Represent Relational Data from Texts:
http://www.casos.cs.cmu.edu/projects/automap/
CASOS' ORA NetScenes:
http://www.casos.cs.cmu.edu/projects/ora/software.php
R and Python both have text analysis modules that may be used for various insights.
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