基于复杂网络的成语关系网络拓扑性研究

Study on the Topology of the Idiomatic Relationship Network Based on Complex Networks

作为汉语文化不可或缺的一部分,成语具有很高的研究价值。运用复杂网络思想,选取第6版《新华成语词典》总共8 013个成语,通过发现成语间的关键联系,利用编辑算法构建互联网空间下复杂网络,并运用Matlab、Origin等软件研究成语网络的连接情况,实证分析研究该成语网络的度分布、聚类系数、平均路径长度、网络小世界特性、香农熵等相关拓扑性质。研究发现,成语节点度越高,聚集系数越大,成语联系关系越紧密,小世界特性越明显。从细节出发研究成语网络相互连接更深层的关系,对未来成语的发展及归纳整理有更加深远的意义。

As an indispensable part of Chinese culture,idioms have high research value.Using complex network ideas,we select a total of8013idioms in the sixth edition of Xinhua Idioms Dictionary.By discovering the key links among idioms,constructing the complex networks in the Internet space by editing algorithms,and employing Matlab,Origin and other softwares to study the connection situation of idioms,we conduct the empirical analysis of the degree distribution of the idiom network,clustering coefficient,average path length,network small world characteristics,Shannon entropy and other related topological properties.The study found that the higher the degree of idiom node,the larger the aggregation coefficient,the closer the idiom relationship is,which indicates the property of the small world.Focusing on the details,we study the deeper relationship between idiom networks,which has more profound guiding significance for the development and synthesis of idioms in the future.