A user term visualization analysis based on a social question and answer log

作者：

Highlights：

• A user-based diabetes subject directory was discovered in this study.

• Terms and their relationships in each of the 12 categories were visually displayed and analyzed.

• The relationships among the 12 categories were analyzed in a visual context.

• Descriptive statistic data on diabetes in the Q&A were revealed.

摘要

•A user-based diabetes subject directory was discovered in this study.•Terms and their relationships in each of the 12 categories were visually displayed and analyzed.•The relationships among the 12 categories were analyzed in a visual context.•Descriptive statistic data on diabetes in the Q&A were revealed.

论文关键词：Diabetes,Term analysis,Information seeking pattern,Visualization analysis,Social question and answers,Q&A

论文评审过程：Received 2 October 2012, Revised 18 April 2013, Accepted 26 April 2013, Available online 3 June 2013.

论文官网地址：https://doi.org/10.1016/j.ipm.2013.04.003