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Social Network Analysis

This version was saved 12 years, 1 month ago View current version     Page history
Saved by Alan Liu
on April 8, 2012 at 1:21:00 am
 
A star Red Star indicates tools that combine power (advanced, multiple, or flexible features) with ease of use. The star tends to be reserved for tools capacious enough for multiple uses or add-on uses that they might also be called "platforms" (e.g., TAPoR, Many Eyes, or Google Earth).  (Other tools may be more powerful, or more easy to use, but not in combined balance.)

 

ICTA (Internet Community Text Analyzer) (text analysis and social network analysis tool)

 

Netlytic social network discovery and visualization

Netlytic social network discovery and visualization

"Netlytic is a free web-based system for content and social network analysis. The main goal is to provide researchers and other interested parties with an automated system for analyzing text-based communal interactions. Netlytic uses a web-based platform that incorporates various text mining techniques and interactive visualizations to allow researchers to access and analyze text-based datasets remotely and share their preliminary results with their collaborators....  What can the current version of Netlytic do?  Import and clean your data set from an RSS feed, an external database or a text file.  Find and explore emerging themes of discussions.  Build and visualize Chain Networks (social networks based on the number of messages exchanged between individuals) and Name Networks (social networks built from mining personal names)."

MONK Project (text analysis tools used on a defined corpus of literary works)

 

MONK analysis of adjective frequences in poetry vs. prose

MONK analysis of adjective frequences in poetry vs. prose
"This instance of the MONK Project includes approximately 525 works of American literature from the 18th and 19th centuries, and 37 plays and 5 works of poetry by William Shakespeare....  MONK provides these texts along with tools to enable literary research through the discovery, exploration, and visualization of patterns. Users typically start a project with one of the toolsets that has been predefined by the MONK team. Each toolset is made up of individual tools (e.g. a search tool, a browsing tool, a rating tool, and a visualization), and these tools are applied to worksets of texts selected by the user from the MONK datastore. Worksets and results can be saved for later use or modification, and results can be exported in some standard formats (e.g., CSV files)."  Tutorials. 
 
 
 
 
 
 

 

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