Table 3.
Predictors | Local opinion leadership | Global opinion leadership | |||||
Indegree | In-closeness | Betweenness | |||||
Coefficients | Standard error | Coefficients | Standard error | Coefficients | Standard error | ||
Intercept | 1.57a | 0.31 | 0.000002a | 0.000000003 | −53.76 | 29.67 | |
Personal attributes | |||||||
Activeness on Weibo | 0.001a | 0.0003 | 0.00000000006a | 0.000000000003 | 0.89a | 0.03 | |
Verification | −0.33a | 0.05 | −0.0000000007 | 0.0000000005 | −17.36a | 4.98 | |
Location | 0.02 | 0.01 | 0.0000000005a | 0.0000000001 | 3.72a | 1.05 | |
Competence | |||||||
Medical-focused | 1.14a | 0.30 | 0.000000001 | 0.000000003 | −8.02 | 29.35 | |
Social positions | |||||||
The number of followers | 0.01a | 0.00008 | 0.00000000002a | 0.0000000000008 | 0.02b | 0.01 | |
The number of followings | −0.003 | 0.002 | 0.0000000002a | 0.00000000002 | 0.34c | 0.16 | |
∆ R2 | 34.4% | 5.2% | 4.2% | ||||
Control variable | |||||||
Gender (female=1, male=0) | −0.14a | 0.03 | −0.000000002a | 0.0000000003 | 7.60c | 3.16 | |
∆ R2 | 0.0% | 0.0% | 0.0% | ||||
Total R2 | 34.4% | 5.2% | 4.2% |
aP<.001.
bP ≤.01.
cP<.05.