【摘要】 未识甲骨字的考释是甲骨文研究最重要的内容,也是历史学家和计算机学家研究甲骨文遇到的最大瓶颈。甲骨文研究积累的数据已体现出海量化和系统化。因此,该文以甲骨文拓片为基础数据,通过建模定义甲骨字之间的距离,进而构建甲骨字网络。在此网络之上,分析网络的度分布、局部连接比率、聚类系数、模块度等相关特性。结果表明:构建的甲骨字网络不仅能充分反映甲骨文系统的单音节词多和复音节词少的古文字特征,而且能捕捉甲骨文拓片的语义单元,并具有很强的模块特性。该文构建的网络及其特性可为历史学家和网络甲骨学家揭示未知甲骨字的语义提供新的数据和理论基础。更多还原

【Abstract】 Predicting semantics of unknown oracle bone inscriptions is an important topic,and also the bottleneck for histories and computer scientists in oracle bone inscriptions research.Based on the massive accumulated data of oracle,we first define the distance of two oracle character by modeling on big rubbing information,then construct the network of oracle characters in this work,and,finally,analyze the degree distribution,local link rate,clustering coefficient and modularity of the network.Experiments show that the constructed network has a strong module structure,reflects the feature of more monosyllabic words and less polysyllabic words,and captures semantic units of rubbings.更多还原