Table 2.

Implementation Science Centers for Cancer Control (ISC³) Year 1 collaboration network descriptive characteristics

Network characteristic	All collaboration activities	Planning/conducting research	Capacity building	Product development	Scientific dissemination	Practice/policy dissemination
N	192	190	190	173	185	149
Ties	2480	1470	1336	825	654	284
% cross-center	33.0	11.7	31.0	48.1	23.5	6.0
Median degree (range)	22 (2, 89)	15 (1, 48)	10 (1, 58)	6 (1, 45)	5 (1, 30)	2 (1, 22)
Within-center	17 (2, 50)	13 (1, 44)	7 (1, 48)	4 (1, 25)	4 (1, 25)	2 (1, 21)
Cross-center	7 (1, 56)	3 (1, 17)	3 (1, 43)	5 (1, 40)	2 (1, 20)	1 (1, 4)
Density (%)a	13.5	8.2	7.4	5.5	3.8	2.6
Betweenness centralizationb	0.07	0.12	0.13	0.11	0.23	0.20
Degree centralizationb	0.33	0.17	0.23	0.21	0.12	0.12
Transitivityc	0.47	0.56	0.37	0.34	0.33	0.33
Isolates	0	2	2	19	7	43

IS implementation science, NCI = National Cancer Institute

^aDensity is the ratio of the number of ties to the total number of possible ties in the network; often used to measure the overall connectivity of a network or degree of cohesion among a network of collaborators [0, 1]

^bCentralization is used to assess the extent of hierarchy in the network; extent that connections in the network are associated with a select few most central nodes in the network [0, 1]. Degree centralization is based on the number of connections (higher degree centralization=one or more nodes hold most of the connections), whereas betweenness centralization is used to measure the extent to which each network member represents a bridge or gatekeeper to others in the network (based on the number of connections or paths in the network an individual lies between, higher betweenness centralization=one or a few nodes responsible for holding the network together)

^cTransitivity is a measure of clustering [0, 1] with higher transitivity suggests that new ties are more likely to form between nodes that share a common collaborator (e.g., referred by an existing collaborator)