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The current interest label extraction method based on the subgraph stream proves the feasibility of the subgraph stream for user label extraction. However, it is extremely time\u2010consuming for constructing subgraphs. As an effective mathematical method to deal with fuzzy and uncertain information, rough set\u2010based representations for subgraph stream construction are capable of capturing the uncertainties of the social network. Therefore, we propose an effective approach called RS_UNITE_SS (namely, rough\u2010set\u2010based user\u2010networked interest topic extraction in the form of subgraph stream), which is suitable for large\u2010scale social network user interest label extraction. Specifically, we first propose the subgraph division algorithm to construct a subgraph stream by incorporating a rough set. Then, the algorithm for user real\u2010time interest label extraction based on upper approximation (RILE) is proposed by using sequentially characteristics of the subgraph. Empirically, we evaluate RS_UNITE_SS over real\u2010world datasets, and experimental results demonstrate that our proposed approach is more computationally efficient than existing methods while achieving higher precision value and MRR value.<\/jats:p>","DOI":"10.1155\/2022\/2072950","type":"journal-article","created":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T14:05:54Z","timestamp":1654869954000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Rough\u2010Set\u2010Based Real\u2010Time Interest Label Extraction over Large\u2010Scale Social Networks"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7221-8055","authenticated-orcid":false,"given":"Xiaoling","family":"Huang","sequence":"first","affiliation":[]},{"given":"Lei","family":"Li","sequence":"additional","affiliation":[]},{"given":"Hao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Chengxiang","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Xiaohan","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Changlin","family":"Wu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2022,6,10]]},"reference":[{"key":"e_1_2_8_1_2","doi-asserted-by":"publisher","DOI":"10.3233\/ida-195042"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-1461-5_1"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/9922410"},{"key":"e_1_2_8_4_2","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/7815418"},{"key":"e_1_2_8_5_2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/9394639"},{"key":"e_1_2_8_6_2","doi-asserted-by":"publisher","DOI":"10.1002\/widm.16"},{"key":"e_1_2_8_7_2","doi-asserted-by":"publisher","DOI":"10.4156\/ijact.vol4.issue15.34"},{"key":"e_1_2_8_8_2","doi-asserted-by":"crossref","unstructured":"GuptaS. 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