{"title":"汉语词汇网络的形成与模拟","authors":"Jinze Li, Jianyu Li, Zhanxin Yang, Feng Xiao","doi":"10.1109/CSO.2012.140","DOIUrl":null,"url":null,"abstract":"The phrase networks of Chinese show small world, scale-free and disassortative mixing features in our previous paper [10]. Here semantical relationships are considered to explain the small world feature. Then we simulate the formation of Chinese phrases using weighted graph theory. The weighted graph model generates power-law distributions and disassortative mixing as the empirical networks, which effectively explain the origin, formation and evolution of Chinese phrases.","PeriodicalId":170543,"journal":{"name":"2012 Fifth International Joint Conference on Computational Sciences and Optimization","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Formation and Simulation on Chinese Lexical Networks\",\"authors\":\"Jinze Li, Jianyu Li, Zhanxin Yang, Feng Xiao\",\"doi\":\"10.1109/CSO.2012.140\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The phrase networks of Chinese show small world, scale-free and disassortative mixing features in our previous paper [10]. Here semantical relationships are considered to explain the small world feature. Then we simulate the formation of Chinese phrases using weighted graph theory. The weighted graph model generates power-law distributions and disassortative mixing as the empirical networks, which effectively explain the origin, formation and evolution of Chinese phrases.\",\"PeriodicalId\":170543,\"journal\":{\"name\":\"2012 Fifth International Joint Conference on Computational Sciences and Optimization\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fifth International Joint Conference on Computational Sciences and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2012.140\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fifth International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2012.140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Formation and Simulation on Chinese Lexical Networks
The phrase networks of Chinese show small world, scale-free and disassortative mixing features in our previous paper [10]. Here semantical relationships are considered to explain the small world feature. Then we simulate the formation of Chinese phrases using weighted graph theory. The weighted graph model generates power-law distributions and disassortative mixing as the empirical networks, which effectively explain the origin, formation and evolution of Chinese phrases.