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.