Table 4.
Summary of Measures for Sentiment-Specific Tweet Text Networks and the Corresponding Greatest Connected Component
| Measures | Positive sentiment | Negative sentiment |
|---|---|---|
| All selected tweets | ||
| Number of nodes | 1,971 | 4,859 |
| Number of edges | 4,131 | 10,908 |
| Average degree | 4.837 | 2.192 |
| Modularity | 0.461 | 0.368 |
| Clustering coefficient | 0.131 | 0.096 |
| Greatest component subgraph | ||
| Number of nodes | 100 | 133 |
| Number of edges | 302 | 339 |
| Graph density | 0.071 | 0.042 |
| Network diameter | 6 | 8 |
| Average path length | 3.569 | 4.385 |
| Average degree | 6.140 | 5.709 |
| Average degree centrality | 0.016 | 0.010 |
| Number of communities | 16 | 21 |
| Average clustering coefficient | 0.288 | 0.240 |