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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)
  1. Note: The numbers in parentheses are the expected values. The cells where empirical values are larger than the expected values are written in italics. The expected numbers were calculated by cross-tabulation analysis by assuming columns and rows are independent. The analysis was based on the 12,426,623 retweets