中文摘要：

本文从一个新的视角构建科学知识扩散的网络模型，即具有时间维度且面向个体的网络模型，并且以当前国际上科学计量学研究的热点领域-Hirsch指数为实证研究对象，验证了其在定量分析科学知识扩散过程方面的可行性和有效性．该模型基于社会网络分析中的扩散和系谱理论建立，从真实的扩散网络出发，充分还原组织中个体的差异性，不但能够直观、鲜活地再现新事物在网络中随时间的演化过程，而且能够实时再现知识扩散的微观动态过程．

英文摘要：

It builds up the knowledge diffusion network model from a new perspective which is an individual-oriented network model with a time dimension. Using researches on the Hirsch-index as the research target, it tests the feasibility and effectiveness of applying the diffusion network model to quantified research. Based on the diffusion and genealogy theory in social network analysis, the model was built; and the heterogeneities of individuals for spreading ideas and the interaction between individuals were also taken into account from a real diffusion network of scientific knowledge. The model presents how knowledge flows and evolves with time passing by among individuals more directly, and also reveals the dynamic process of knowledge diffusion.