{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:27:20Z","timestamp":1740202040069,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"abstract":"<jats:p>This paper studies the problem of identifying influencers on specific topics in the microblog sphere. Prior works usually use the cumulative number of social links to measure users' topic-level influence, which ignores the dynamics of influence. As a result, they usually find faded influencers. To address the limitations of prior methods, we propose a novel probabilistic generative model to capture the variation of influence over time. Then a influence decay method is proposed to measure users' current topic-level influence.<\/jats:p>","DOI":"10.3233\/978-1-61499-672-9-1559","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:21:00Z","timestamp":1740133260000},"source":"Crossref","is-referenced-by-count":0,"title":["Topic-Level Influencers Identification in the Microblog Sphere"],"prefix":"10.3233","author":[{"family":"Wang Yakun","sequence":"additional","affiliation":[]},{"family":"Zhang Zhongbao","sequence":"additional","affiliation":[]},{"family":"Su Sen","sequence":"additional","affiliation":[]},{"family":"Chang Cheng","sequence":"additional","affiliation":[]},{"family":"Zia Muhammad Azam","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","ECAI 2016"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:10:39Z","timestamp":1740136239000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-671-2&spage=1559&doi=10.3233\/978-1-61499-672-9-1559"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-672-9-1559","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2016]]}}}