Simulation of Knowledge Transfer Process Model Between Universities: A Perspective of Cluster Innovation Network

Table 1

The network topology parameters under different values at and .

topology structure parameters	t
		m	std	m	std	m	std
Average path length (L)	t=100	1.7891	0.0682	1.7636	0.1007	1.9871	0.2679
	t=800	2.0549	0.2608	2.3643	0.3661	2.4128	0.2851
Average clustering coefficient (C)	t=100	0.1725	0.0285	0.1739	0.0361	0.1802	0.0531
	t=800	0.1125	0.0504	0.0633	0.0255	0.0551	0.0220
Small world Q (RSW)	t=100	5.0311	0.2029	5.0315	0.1871	5.5323	0.3056
	t=800	2.3928	0.2842	0.6402	0.1781	0.3501	0.1760

Notes: (1) m (mean values)/std (standard deviation) are shown for 20 replications at each moment for the same parameters; (2) according to Davis G F [36], the average path length is calculated based on the maximal connected subgraphs of the innovation network. In the calculation formula of the small world quotient , , .