Table 1. Multivariable regression analysis of congress networking (independent variables) on publication success (dependent variables).

dependent variable	independent variable	regression coefficient B	95% confidence interval	logrank p-value	R2
h-index authors	weight	2.179	2.062; 2.295	<0.001	0.549
	degree	0.014	0.009; 0.019	<0.001
	closeness	2.434	1.351; 3.518	<0.001
	betweenness	-279.151	-348.802; -209.496	<0.001
	l-index	0.041	0.025; 0.058	<0.001
h-index institutions	weight	0.239	0.131; 0.347	<0.001	0.451
	degree	0.202	0.157; 0.247	<0.001
	closeness	15.307	1.791; 28.823	0.027
	betweenness	-470.080	-752.954; -187.205	0.001
hm-index institutions	weight	0.010	0.000; 0.021	0.058	0.218
	degree	0.014	0.009; 0.018	<0.001
	closeness	2.181	0.865; 3.497	0.001
	betweenness	-50.673	-78.226; -23.121	<0.001
h-index countries	weight	0.127	0.085; 0.169	<0.001	0.862
	degree	0.413	0.040; 0.786	0.031
	closeness	19.224	-17.190; 55.639	0.294
	betweenness	254.251	-241.709; 750.210	0.308
hm-index countries	weight	-0.001	-0.003; 0.001	0.582	0.442
	degree	0.026	0.007; 0.044	0.007
	closeness	0.476	-1.300; 2.252	0.592
	betweenness	-1.533	-25.721; 22.655	0.899
h-index communities	mean weight	14.050	0.497; 27.602	0.044	0.881
	mean degree	-0.449	-3.453; 2.555	0.739
	mean closeness	832.122	-139.780; 1,804.023	0.084
	mean betweenness	-3,070.989	-34,528.489; 28,386.511	0.828
hm-index communities	mean weight	0.127	-0.122; 0.377	0.273	0.722
	mean degree	-0.062	-0.117; -0.006	0.034
	mean closeness	26.804	8.886; 44.722	0.009
	mean betweenness	-282.297	-862.250; 297.656	0.294

The multivariable model includes the networking centralities to infer publication success estimated by h- or h_m-index for authors, institutions, countries and communities of institutions. Their effect in the model is given by the regression coefficient B (positive effect for B>0, negative effect for B<0). Significant logrank test results with p<0.05 are depicted in bold.