Table 8. Twitter user types and their prevailing communities.
The top 890 users from the major communities, ranked by the retweet h-index, are classified into different types. When possible (in over 72% of the cases) the prevailing community across the five timepoints is determined. The rest of the users shift between different communities through time. There is an interesting transition community Left→SDS that corresponds to the government transition from the left-wing to the right-wing, and consists mostly of the governmental institutions.
| User type subtype | Share | Prevailing community | |||
|---|---|---|---|---|---|
| Left | Right | SDS | Left→SDS | ||
| Individual | 486 (55%) | 137 (59%) | 85 (38%) | 104 (60%) | 3 (20%) |
| Politician | 143 | 20 | 16 | 72 | 3 |
| Public figure | 101 | 40 | 22 | 8 | 0 |
| Journalist | 100 | 41 | 12 | 11 | 0 |
| Other | 142 | 36 | 35 | 13 | 0 |
| Organization | 129 (14%) | 41 (18%) | 9 0(4%) | 36 (21%) | 12 (80%) |
| Institution | 59 | 20 | 3 | 9 | 10 |
| Media | 46 | 16 | 4 | 15 | 1 |
| Political party | 24 | 5 | 2 | 12 | 1 |
| Unverified | 275 (31%) | 55 (23%) | 130 (58%) | 32 (19%) | 0 0(0%) |
| Anonymous | 148 | 37 | 47 | 16 | 0 |
| Closed | 95 | 14 | 58 | 13 | 0 |
| Suspended | 32 | 4 | 25 | 3 | 0 |
| Total | 890 (99%) | 233 (99%) | 224 (99%) | 172 (99%) | 15 (99%) |