The Social Semantic Network Analysis of the Open Village conversation is finally here!
- 147 participants in the conversation
- 1,568 posts in 243 topics
- coded with 914 ethnographic codes in 2,526 annotations
- the dashboard is here
The code co-occurrence graph is, as always, very large, and not readable by humans simply via visual inspection: it has 914 nodes and over 10,000 edges. I downloaded the graph and tweaked it a bit in search of a high-level view on the conversation. I ended up producing this image:
- Only edges that represents at least 4 co-occurrences are shown. This means that the two ethnographic codes connected by each of these edges appear together on at least 4 posts. The maximum number of co-occurrences is 10.
- The graph has 35 nodes and 79 edges
- Darker edges represent more co-occurrences.
- Node colors represent “clusters”; or to be more precise, the classes of the modularity-maximizing partition. This network is not highly modular (about 0.23), but you can see that blue nodes seem to be more or less “techniques”, “way of working”, or “moves” that young people in MENA can apply to their predicament, whereas the green ones represent, in many cases, “solutions” like
entrepreneurship.There is some intuition, I think, to be gained by looking at the yellow nodes (around
community health) and the orange ones (around
Any thoughts, anybody?