Celebrity profiling through linguistic analysis of digital social networks

Computational Social Networks

Table 10 Model of the person’s characteristic Fame

Feature groups	Variable	Star		Superstar
	Predictor	Estimator	P-value	Estimator	P-value
Lexical	(Intercept)	0.99	0.028	1.33	0.008
	V1	0.01	0.22	0.03	0.055
	V3	− 2.49	0.003	− 12.91	<0.001
	V4	0.4	<0.001	− 1.15	<0.001
Syntactic	V14	1.07	<0.001	2.03	<0.001
	V15	1.1	<0.001	2.14	<0.001
	V16	3.75	<0.001	5.8	<0.001
	V17	3.23	<0.001	4.45	<0.001
	V18	0.22	<0.001	0.21	<0.001
Symbolic	V9	0.48	<0.001	0.91	<0.001
Symbolic	V10	0.53	<0.001	0.92	<0.001
Participation	V11	0.82	<0.001	0.67	<0.001
Participation	V13	− 1.41	<0.001	− 1.94	<0.001
Complementary information	V12	0.56	<0.001	2.51	<0.001
Residual deviance: 41544.39
Akaike information criterion (AIC): 41604.39