{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T20:50:08Z","timestamp":1760820608668},"reference-count":0,"publisher":"National Library of Serbia","issue":"3","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ComSIS","COMPUT SCI INF SYST","COMPUT SCI INFORM SY","COMPUTER SCI INFORM","COMSIS J"],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>As one of the most popular Social Networking Services (SNS) in China, Weibo\n   is generating massive contents, relations and users? behavior data. Many\n   challenges exist in how to analyze Weibo data. Most works focus on Weibo\n   clustering and topic classification based on analyzing the text contents\n   only. However, the traditional approaches do not work well because most\n   messages on Weibo are very short Chinese sentences. This paper aims to\n   propose a new approach to cluster the Weibo data by analyzing the users?\n   reposting behavior data besides the text contents. To verify the proposed\n   approach, a data set of users? real behaviors from the actual SNS platform is\n   utilized. Experimental results show that the proposed method works better\n   than previous works which depend on the text analysis only.<\/jats:p>","DOI":"10.2298\/csis130927070z","type":"journal-article","created":{"date-parts":[[2014,7,21]],"date-time":"2014-07-21T13:22:15Z","timestamp":1405948935000},"page":"1157-1172","source":"Crossref","is-referenced-by-count":5,"title":["Weibo clustering: A new approach utilizing users\u2019 reposting data in social networking services"],"prefix":"10.2298","volume":"11","author":[{"given":"Guangzhi","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Information Science and Technology, Beijing Normal University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunchuan","family":"Sun","sequence":"additional","affiliation":[{"name":"Beijing Normal University, Business School, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengling","family":"Xu","sequence":"additional","affiliation":[{"name":"Beijing Normal University, College of Information Science and Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rongfang","family":"Bie","sequence":"additional","affiliation":[{"name":"Beijing Normal University, College of Information Science and Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1078","container-title":["Computer Science and Information Systems"],"original-title":[],"language":"en","deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T08:31:57Z","timestamp":1685349117000},"score":1,"resource":{"primary":{"URL":"https:\/\/doiserbia.nb.rs\/Article.aspx?ID=1820-02141400070Z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2014]]}},"URL":"https:\/\/doi.org\/10.2298\/csis130927070z","relation":{},"ISSN":["1820-0214","2406-1018"],"issn-type":[{"value":"1820-0214","type":"print"},{"value":"2406-1018","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}