1. Descriptive statistics
   1. Place detection
      1. Analyze/Categorize places
         1. Elements' attributes
         2. Sets' attributes
         3. Places' attributes (quantitative)
            1. Nb Elements
            2. Nb Sets
      2. Build network of places
         1. Visualization (graphs)
         2. Network metrics
            1. Global/structural
            2. Local/positional (centralities)
         3. Community detection
2. Apply same workflow to subnetworks on filtered data (e.g. place formation over time...)
3. Understand your data
4. Design attribute categories
5. Apply same workflow to transposed network of sets linked by places (joint/dual analysis)