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利用偏好适应度(PF)模型和平均场(MF)理论,建立产学研合作创新网络多核型结构演化模型,并进行数值仿真研究。研究结果表明:偏好适应度择优机制能够有效抑制实力认知能力缺失和自我认知能力缺失对网络结构演化的干扰;产学研合作创新网络结构演化具有幂律衰减分布特性,且新节点涌入概率越小,网络平均节点度越大;随着网络演化阶段的递进,具有中心权利的核心节点越多且边缘节点关系越稠密,网络多核型结构越稳定;在连边次数较低的情况下,异质类网络平均节点度明显低于同质类网络平均节点度,而随着连边次数的增加,异质类网络平均节点度的增幅却明显高于同质类网络平均节点度。
By using the preference fitness (PF) model and the average field (MF) theory, the multi-core structure evolutionary model of cooperative innovation network of industry, university and research institute is established and the numerical simulation is carried out. The results show that: Preference fitness mechanism can effectively restrain the disturbance of network structure evolution due to lack of cognition ability and lack of self-cognition ability; Power network structure evolution has the power-law attenuation distribution characteristic, and the probability of influx of new nodes The smaller the average node degree of the network, the more the core nodes with central rights and the more dense the edge nodes are, the more stable the multi-core network structure with the progress of network evolution. In the case of lower number of sides , The average degree of nodes in heterogeneous networks is significantly lower than that of homogeneous networks, and with the increase of the number of connected edges, the average degree of nodes in heterogeneous networks increases significantly more than the average nodes in homogeneous networks.