From: Model-based learning of information diffusion in social media networks
Network type | Model | Nodes | Edges | Cascades | Training accuracy | Testing accuracy |
---|---|---|---|---|---|---|
Erdos-Renyi | LTNN | 100 | 270 | 200 | 70.5% | 66.7% |
 | RWNN | 100 | 270 | 200 | 73.9% | 67.5% |
 | LTNN | 1000 | 24980 | 200 | 74.6% | 67.6% |
 | RWNN | 1000 | 24980 | 200 | 68.5% | 68.0% |
Barabasi-Albert | LTNN | 100 | 291 | 200 | 69.6% | 67.7% |
 | RWNN | 100 | 291 | 200 | 75.1% | 67.0% |
 | LTNN | 1000 | 29100 | 200 | 74.5% | 68.2% |
 | RWNN | 1000 | 29100 | 200 | 68.7% | 68.4% |
Watts-Strogatz | LTNN | 100 | 300 | 200 | 69.9% | 66.9% |
 | RWNN | 100 | 300 | 200 | 74.1% | 67.0% |
 | LTNN | 1000 | 3000 | 200 | 69.8% | 67.5% |
 | RWNN | 1000 | 3000 | 200 | 73.8% | 67.9% |