Feature analysis of multidisciplinary scientific collaboration patterns based on PNAS

EPJ Data Science

Table 3 Specific statistical indexes of the analyzed networks

Network	NN	NE	GCC	AC	AP	PG
PNAS 1999–2013	202,664	1,225,176	0.881	0.230	6.422	0.868
Biological sciences	184,872	1,150,362	0.881	0.232	6.364	0.880
Physical sciences	24,766	101,166	0.933	0.452	10.89	0.455
Social sciences	5121	18,786	0.946	0.683	6.574	0.087
Biophysics	13,480	48,012	0.905	0.177	7.665	0.636
Interdiscipline	13,680	53,588	0.951	0.558	9.397	0.093

The indexes are the number of nodes (NN), the number edges (NE), global clustering coefficient (GCC), degree assortativity coefficient (AC), average shortest path length (AP), the node proportion of the giant component (PG). The AP of the first two networks are approximately calculated by sampling 400,000 pairs of nodes.