Finally, having rested up and consumed loads of Indian food in Hungary, I am back!
This week, I started with a fresh approach to create a BA network, based on an edge-list view instead of going for separate classes, and the output looks like this for 1000 nodes, when seeded with a fully-connected network of 5 agents.
The same network, scaled for a 10,000 agents, now takes less than a minute and looks like this
This week, I started with a fresh approach to create a BA network, based on an edge-list view instead of going for separate classes, and the output looks like this for 1000 nodes, when seeded with a fully-connected network of 5 agents.
In both cases, the average degree goes to 4.
Now, I'll link this model to the existing class structure and see how using the belief values or 'likemindedness' affects the connections.
So Long.
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