考虑公共媒体对创新传播的影响,本文提出基于网络局域交互和全局广播的创新传播模型,该模型既考虑了创新传播过程中邻居节点之间的交互作用,也考虑了公共媒体对创新传播的影响。实证网络数据集上的仿真结果表明在公共媒体宣传力度有限的情况下,局域交互特性对创新传播具有重要影响。进一步的分析表明,结合网络结构和创新传播机制的节点影响力评价指标可以准确地对创新传播中的节点影响力进行排序,相对于度、紧密度等方法,该方法的Kendall's Tau可以提高39.19%,35.61%和33.03%。
In this paper, we present an innovation diffusion model based on the local interaction and global broadcasting, which considers both the interaction between each node and the influence of the public media during the innovation spreading process. The experimental results show that as the effect of the global broadcasting is limited, the local interaction relationships would play an important role in the innovation diffusion. Furthermore, the simulation results on for real networks show that under the limited influence of public media, the improved method which integrates the network structure and innovation diffusion process can evaluate the node influence in innovation diffusion accurately. Comparing with degree, closeness and K-shell method, the largest improved ratio could reach 39.19%, 35.61% and 33.03% respectively.
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