Table 6 Information flow, as represented by frequencies of retweets and the expected numbers in bracket, among four categories of Twitter users who tweeted about Ebola from March 23, 2014 to May 31, 2015
From: How did Ebola information spread on twitter: broadcasting or viral spreading?
From-To | Disseminators | Common users | Hidden influential users | Influential users |
|---|---|---|---|---|
Disseminators | 199,167 (166,838) | 146,719 (233,779) | 19,182 (6269) | 58,203 (16,385) |
Common users | 82,712 (115,082) | 143,088 (161,257) | 29,119 (4324) | 37,046 (11,302) |
Hidden influential users | 174,208 (214,220) | 306,596 (300,172) | 28,480 (8049) | 34,196 (21,039) |
Influential users | 4,442,035 (4,401,982) | 6,267,010 (6,168,205) | 107,264 (165,403) | 351,598 (432,317) |