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作 者:Kai Dong Taolin Guo Xiaolin Fang Zhen Ling Haibo Ye
机构地区:[1]School of Computer Science and Engineering,Southeast University,Nanjing,211189,China [2]State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing,210023,China [3]College of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing,210016,China
出 处:《Computers, Materials & Continua》2019年第1期197-213,共17页计算机、材料和连续体(英文)
基 金:This work was supported in part by the National Natural Science Foundation of China under Grants 61602111,61502099,61502100,61532013;the Jiangsu Provincial Natural Science Foundation of China under Grants BK20150628,BK20150637;the Jiangsu Provincial Scientific and Technological Achievements Transfer Fund,and by the Jiangsu Provincial Key Laboratory of Network and Information Security under Grant BM2003201;the Key Laboratory of Computer Network and Information Integration of Ministry of Education of China under Grant 93K-9;Collaborative Innovation Center of Novel Software Technology and Industrialization.
摘 要:Sina Weibo,an online social network site,has gained popularity but lost it in recent years.Now we are still curious on the number of posts in Sina Weibo in its golden age.Besides checking this number in Sina’s operating results,we aim to estimate and verify this number through measurement by using statistical techniques.Existing approaches on measurement always rely on the supported streaming application programming interface(API)which provides proportional sampling.However no such API is available for Sina Weibo.Instead,Sina provides a public timeline API which provides non-proportional sampling but always returns a(nearly)fixed number of s amples.In this paper,we present a novel method utilizing this API and estimate the number of posts in Sina Weibo in its golden age.
关 键 词:SINA Weibo POPULARITY NUMBER of POSTS PUBLIC TIMELINE API
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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