semnet

• NOTE: This library is currently undergoing some changes, and may not work as expected. For questions, please contact Jeff Zemla at zemla@wisc.edu

This library contains many tools for analyzing semantic fluency data and estimating semantic networks from fluency data. Included is the U-INVITE method for constructing networks from semantic fluency data (Zemla, Kennett, Jun, & Austerweil, 2016).

Documentation is sparse-- import rw in Python, and look through the functions in /rw (particularly core.py), or check out a sample file gen_subj_graphs.py.

Support for this research was provided by NIH R21AG0534676 and the Office of the VCGRE at UW- Madison with funding from the WARF.