Jian Xie, Lin Gong, Zijian Zhang, Yan Yan, Sheng Tang
{"title":"面向创新的超模型与知识网络演化","authors":"Jian Xie, Lin Gong, Zijian Zhang, Yan Yan, Sheng Tang","doi":"10.1145/3033288.3033343","DOIUrl":null,"url":null,"abstract":"Aiming at the topological characteristics and unclear innovation of knowledge network, a hyper model for knowledge was established. Based on the model, the keyword network and its evolution model were constructed with a newly-raised concept called innovation degree which measures the innovation in specific knowledge field. After that, specific model was constructed and its evolution was analyzed through papers from the field of artificial intelligence, which verified that the topological structure presented small-world nature and the innovation degree were effective in identifying the direction of knowledge innovation in relevant fields.","PeriodicalId":253625,"journal":{"name":"International Conference on Network, Communication and Computing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Innovation Oriented Hyper Model and Evolution of Knowledge Network\",\"authors\":\"Jian Xie, Lin Gong, Zijian Zhang, Yan Yan, Sheng Tang\",\"doi\":\"10.1145/3033288.3033343\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the topological characteristics and unclear innovation of knowledge network, a hyper model for knowledge was established. Based on the model, the keyword network and its evolution model were constructed with a newly-raised concept called innovation degree which measures the innovation in specific knowledge field. After that, specific model was constructed and its evolution was analyzed through papers from the field of artificial intelligence, which verified that the topological structure presented small-world nature and the innovation degree were effective in identifying the direction of knowledge innovation in relevant fields.\",\"PeriodicalId\":253625,\"journal\":{\"name\":\"International Conference on Network, Communication and Computing\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Network, Communication and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3033288.3033343\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Network, Communication and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3033288.3033343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Innovation Oriented Hyper Model and Evolution of Knowledge Network
Aiming at the topological characteristics and unclear innovation of knowledge network, a hyper model for knowledge was established. Based on the model, the keyword network and its evolution model were constructed with a newly-raised concept called innovation degree which measures the innovation in specific knowledge field. After that, specific model was constructed and its evolution was analyzed through papers from the field of artificial intelligence, which verified that the topological structure presented small-world nature and the innovation degree were effective in identifying the direction of knowledge innovation in relevant fields.