Table 3 Real networks from neurodegenerative dataset used in our experiment, the disease name, numbers of nodes and edges, average node degree and clustering coefficient
From: ProMotE: an efficient algorithm for counting independent motifs in uncertain network topologies
Disease | Nodes | Edges | Avg. degree | C. coefficient |
|---|---|---|---|---|
AD | 162 | 737 | 9.1 | 0.876 |
HD | 177 | 756 | 8.54 | 0.845 |
PD | 125 | 751 | 12 | 0.827 |