{"title":"社交网络中的链接预测研究综述","authors":"Tingli Wang, Guoqiong Liao","doi":"10.1109/ICMECG.2014.38","DOIUrl":null,"url":null,"abstract":"In recent years, with the emerging of social media, such as Facebook, Twitter, Sina Microblog, more and more researchers pay their attentions to social networks. Link prediction is one of the most interesting issues among the social network analysis, which exploits existing networks information, like the characteristics of the nodes and edges, to predict potential relationships to be formed in the future. This paper summarizes the link prediction methods in social networks, including tradition link prediction methods, link prediction methods in heterogeneous networks, and temporal link prediction methods.","PeriodicalId":413431,"journal":{"name":"2014 International Conference on Management of e-Commerce and e-Government","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"A Review of Link Prediction in Social Networks\",\"authors\":\"Tingli Wang, Guoqiong Liao\",\"doi\":\"10.1109/ICMECG.2014.38\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, with the emerging of social media, such as Facebook, Twitter, Sina Microblog, more and more researchers pay their attentions to social networks. Link prediction is one of the most interesting issues among the social network analysis, which exploits existing networks information, like the characteristics of the nodes and edges, to predict potential relationships to be formed in the future. This paper summarizes the link prediction methods in social networks, including tradition link prediction methods, link prediction methods in heterogeneous networks, and temporal link prediction methods.\",\"PeriodicalId\":413431,\"journal\":{\"name\":\"2014 International Conference on Management of e-Commerce and e-Government\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Management of e-Commerce and e-Government\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMECG.2014.38\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Management of e-Commerce and e-Government","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMECG.2014.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In recent years, with the emerging of social media, such as Facebook, Twitter, Sina Microblog, more and more researchers pay their attentions to social networks. Link prediction is one of the most interesting issues among the social network analysis, which exploits existing networks information, like the characteristics of the nodes and edges, to predict potential relationships to be formed in the future. This paper summarizes the link prediction methods in social networks, including tradition link prediction methods, link prediction methods in heterogeneous networks, and temporal link prediction methods.