Functional and Social Team Dynamics in Industrial Settings

Table 1

Statistical tests comparing the distributions of network features from functional and social communication networks. The Kolmogorov–Smirnov (KS) test measures whether samples come from the same distribution. Welch’s t-test is two-sided and measures whether two distributions have the same average. The distributions and averages significantly differ among functional and social communication networks across all features.

Feature	KS test		Welch’s t-test
	Test value	value	Test value	value
No. of users	0.25	1.53e − 05	5.53	7.194e – 08
No. of communications	0.43	2.34e − 16	5.96	1.22e – 08
Average clustering	0.31	2.93e − 08	−7.31	1.77e – 12
Job-title assortativity	0.95	3.12e − 95	−39.59	7.76e – 136
Degree assortativity	0.74	1.55e − 15	−20.70	1.38e – 64
Gini coefficient	0.25	1.53e − 05	1.96	0.05
Density	0.39	5.84e − 13	−9.13	1.11e – 17