Celebrity profiling through linguistic analysis of digital social networks

Computational Social Networks

Table 23 Model of the characteristic of the person Birth year

Feature groups	Variable	1990		2000		2010
	Predictor	Estimator	P-value	Estimator	P-value	Estimator	P-value
Lexical	(Intercept)	7.99	<0.001	0.33	0.755	− 4.91	<0.001
	V1	− 0.34	<0.001	− 0.09	0.001	− 0.1	0.704
	V3	− 4.56	0.008	− 9.64	<0.001	0.31	0.256
	V4	− 0.03	0.838	− 0.31	0.213	− 0.96	0.46
Syntactic	V14	3	<0.001	1.6	<0.001	3.06	0.258
	V15	0.57	0.068	1.33	0.003	0.86	0.736
	V16	− 3.72	<0.001	− 0.74	0.389	− 0.58	0.398
	V17	− 5.31	<0.001	− 6.99	<0.001	0.92	0.024
	V18	− 0.08	0.005	− 0.03	0.567	0.02	0.951
Symbolic	V9	2.61	<0.001	1.96	<0.001	1	0.724
Symbolic	V10	0.68	<0.001	− 0.37	0.075	0.87	0.04
Participation	V11	− 0.96	<0.001	0.42	0.015	0.31	0.861
Participation	V13	4.13	<0.001	1.12	0.005	− 0.41	0.392
Complementary information	V12	− 4.04	<0.001	0.57	0.037	1.82	0.43
Residual deviance: 92807.86
AIC: 92989.86