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| 藏文字同现网络的小世界效应和无标度特性 | |
| 引用本文： | 才智杰,孙茂松,才让卓玛.藏文字同现网络的小世界效应和无标度特性[J].中文信息学报,2018,32(10):45-52. |
| 作者姓名： | 才智杰 孙茂松 才让卓玛 |
| 作者单位： | 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 |
| 基金项目： | 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。 |
| 关 键 词： | 藏文字 同现网络 小世界效应 无标度特性 |
The Small World Effect and the Scale-free Property of Tibetan Characters' Co-occurrence Network |
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| CAI Zhijie,SUN Maosong,CAI Rangzhuoma.The Small World Effect and the Scale-free Property of Tibetan Characters' Co-occurrence Network[J].Journal of Chinese Information Processing,2018,32(10):45-52. | |
| Authors: | CAI Zhijie SUN Maosong CAI Rangzhuoma |
| Affiliation: | 1.Key Laboratory of Tibetan Information Processing of Ministry of Education, School of Computer Science, Qinghai Normal University, Xining, Qinghai 810008, China; 2.Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China |
| Abstract: | 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. |
| Keywords: | Tibetan characters co-occurrence network small world effect scale-free property |
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