2.118

影响因子

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    领域网络下的领域知识级联

    Field Knowledge Cascades in Field Networks

    • 摘要: 通过美国物理协会数据集研究由分类方案代码构建的领域网络,分别使用篇均论文影响力和领域相似性指标分析领域间的知识级联传播影响,构建领域级联树模型,发现由根领域到子领域存在二度级联效应。通过级联深度、级联规模和跨领域传播速度等结构特征分析级联树模型,表明在领域知识级联传播过程中,根领域知识的跨领域传播速度呈先增后减的变化趋势,同时部分领域的知识传播存在不连续的现象。

       

      Abstract: The paper investigates the field network constructed by classification scheme codes using the American Physical Society(APS) dataset, and analyzes the influence of knowledge cascading by use of raw impact per paper(RIP)and filed similarity metrics, then constructs a field cascade tree model, and then finds that there is a secondary cascading effect from root domains to subdomains. Furthermore, the cascade tree model is analyzed using structural features such as cascade depth, cascade size, and cross-domain propagation speed. The results show that the cross-field propagation speed of root domain knowledge initially increases and then decreases during the knowledge cascading process, while knowledge propagation in some field exhibits discontinuity.

       

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