Fig 1.
NCTF and PF of explorative innovation as a function of p.
Fig 2.
TTF and PF of explorative innovation as a function of p.
Fig 3.
NCTF and PF of exploitative innovation as a function of p.
Fig 4.
TTF and PF of exploitative innovation as a function of p.
Fig 5.
Innovation branch structure characteristics of exploitative innovation.
Fig 6.
Robustness test of the network size N.
(A) NCTF and PF of explorative innovations with different values of network size N. (B) TTF and PF of explorative innovations with different values of network size N. (C) NCTF and PF of exploitative innovations with different values of network size N. (D) TTF and PF of exploitative innovations with different values of network size N.
Fig 7.
Robustness test of the innovation model parameters k and l.
(A) NCTF and PF of explorative innovations with different values of l, which is the number of dimensions of the innovation vector L. (B) TTF and PF of explorative innovations with different values of l. (C) NCTF and PF of exploitative innovations with different values of k, which is the amount of knowledge in each dimension of the innovation vector L. (D) TTF and PF of exploitative innovations with different values of k.
Fig 8.
The model results with dv as a certain proportion of the knowledge difference between the two nodes.
(A) NCTF and PF of explorative innovation. (B) TTF and PF of explorative innovation. (C) NCTF and PF of exploitative innovation. (D) TTF and PF of exploitative innovation. Specifically, the value of dv = 0.2|vi−vj| is used in this experiment.
Fig 9.
The model results with dv varies with the knowledge level of the receivers.
(A) NCTF and PF of explorative innovation. (B) TTF and PF of explorative innovation. (C) NCTF and PF of exploitative innovation. (D) TTF and PF of exploitative innovation. Specifically, the value of dv = 0.01(vi−vj)(vj+1) is used in this experiment, as vj denotes the receiver of knowledge in this conversation.