藏文字同现网络的小世界效应和无标度特性  

The Small World Effect and the Scale-free Property of Tibetan Characters' Co-occurrence Network

作　　者：才智杰[1] 孙茂松[2] 才让卓玛[1] CAI Zhijie;SUN Maosong;CAI Rangzhuoma(Key Laboratory of Tibetan Information Processing of Ministry of Education,School of Computer Science,Qinghai Normal University,Xining,Qinghai 810008,China;Tsinghua National Laboratory for Inforrnation Science and Technology,Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China)

机构地区：[1]青海师范大学计算机学院藏文信息处理教育部重点实验室,青海西宁810008 [2]清华大学计算机科学与技术系清华信息科学与技术国家实验室,北京100084

出　　处：《中文信息学报》2018年第10期45-52,共8页Journal of Chinese Information Processing

基　　金：国家自然科学基金(61866032;61163018;61262051;61363055;61662061);国家社会科学基金(13BYY141;16BYY167;15BYY167);教育部"春晖计划"合作科研项目(Z2012093;Z2016077);青海省基础研究项目(2017-ZJ-767;2019-SF-129;2015-SF-520);"长江学者和创新团队发展计划"创新团队资助项目(IRT1068);青海省重点实验室项目(2013-Z-Y17;2014-Z-Y32;2015-Z-Y03);藏文信息处理与机器翻译重点实验室项目(2013-Y-17)

摘　　要：复杂网络具有自组织、自相似、吸引子、小世界、无标度中部分或全部性质,而语言文字作为人类智慧和文明的结晶,是经过漫长演化形成的复杂网络。该文对藏语诗歌、散文、政治、佛教、教材和口语等六类具有代表性的体裁语料,每类各取15篇共90篇文章构建了97个藏文字同现网络,分析了藏文字同现网络的最短路径长度、聚类系数和度分布,实验数据显示97个藏文字同现网络都具有小世界效应和无标度特性,表明藏文字同现网络都具有小世界效应和无标度特性。Complex networks have part or all of the properties of self-organization,self-similarity,attractors,small world,and scale-free.Languages and characters,as the crystallization of human wisdom and civilization,are complex networks formed through long evolution.The paper presents 97 Tibetan characters＇co-occurrence networks derived from 90 passages from 6 representative corpus of Tibetan poems,proses,politics,Buddhism,teaching materials and spoken language（15 passages per corpus）.This paper analyzes the shortest path length,clustering coefficient and degree distribution of Tibetan characters＇co-occurrence networks.Experimental data shows that the 97 Tibetan characters＇co-occurrence networks have small world effect and scale-free property,indicating that all Tibetan characters＇co-occurrence networks may have small world effect and scale-free property.

关 键 词：藏文字 同现网络 小世界效应 无标度特性 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]