This document discusses using quantitative methods like text mining and statistics to analyze activity in the Hackuarium Slack workspace. It involves parsing Slack data like member interventions, citations, and timestamps to count and map activity over time by projects and people. The goals are to create a project monitoring tool, association activity report, and potentially a research article. Future plans include collecting more data, improving data parsing and visualizations, and developing applications like a word cloud analyzer and an interactive project for quantitative anthropology research.

1. Quantitative Anthropology
Hackuarium

2. Why ?
• Quantitative support of Michal’s observations
• Project monitoring tool
• Association activity report
• Application development ?
• Research article ?

3. Simply text mining and statistics
• Counting
members
interventions
• Counting of
citations
• Citations
mapping
• Temporal record
of activity by
projects/people
(slack channels)

4. Methods
Parsing
• SLACK
Tables
• Log
Interventions
Citations
Time/dates
Analysis
• Statistics
Network
reconstruction

6. Temporal activity for each channel

8. Hackuarium network visualization

9. Outlook
• More data
• Correct parsing errors & data cleaning
• Improve visualizations and statistics
• Use of “word clouds” to analyze over
represented word content
• App development
• IA project
• …