{"title":"新浪微博知名用户网络研究","authors":"Tian Jie, Li Yong-cheng, Lu Yu-liang, Guo Hao","doi":"10.1109/IMCCC.2012.20","DOIUrl":null,"url":null,"abstract":"Analysis over online social network, especially those for network structure analysis, have significant meanings for works including network models' building-up and researches over the transmissional traits. Aiming towards the user relation network oriented from the Famous-User of SINAWeibo, this paper studies many facets including the degree distribution, small-world phenomenon and degree correlation utilizing the complex network analysis algorithms, with experimental results showing for this network the existence of deviations from power-law at the degree distribution level, the effective diameter being short, the nodes' degrees being irrelevant, with the non-hierarchical intrinsic nature proved.","PeriodicalId":394548,"journal":{"name":"2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Research on Famous-User Network of SINA-Weibo\",\"authors\":\"Tian Jie, Li Yong-cheng, Lu Yu-liang, Guo Hao\",\"doi\":\"10.1109/IMCCC.2012.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analysis over online social network, especially those for network structure analysis, have significant meanings for works including network models' building-up and researches over the transmissional traits. Aiming towards the user relation network oriented from the Famous-User of SINAWeibo, this paper studies many facets including the degree distribution, small-world phenomenon and degree correlation utilizing the complex network analysis algorithms, with experimental results showing for this network the existence of deviations from power-law at the degree distribution level, the effective diameter being short, the nodes' degrees being irrelevant, with the non-hierarchical intrinsic nature proved.\",\"PeriodicalId\":394548,\"journal\":{\"name\":\"2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMCCC.2012.20\",\"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 Second International Conference on Instrumentation, Measurement, Computer, Communication and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2012.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis over online social network, especially those for network structure analysis, have significant meanings for works including network models' building-up and researches over the transmissional traits. Aiming towards the user relation network oriented from the Famous-User of SINAWeibo, this paper studies many facets including the degree distribution, small-world phenomenon and degree correlation utilizing the complex network analysis algorithms, with experimental results showing for this network the existence of deviations from power-law at the degree distribution level, the effective diameter being short, the nodes' degrees being irrelevant, with the non-hierarchical intrinsic nature proved.