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Tracking Usage in Collaborative Tagging Communities, , and . Workshop on Contextualized Attention Metadata (CAMA'07), (June 2007)masses may not only support folksonomies but may also hinder their usage for individuals, efficiency of tagging systems decreases with growing population,.Online discussion threads as conversation pools: predicting the growth of discussion threads on reddit., , , and . Comput. Math. Organ. Theory, 28 (2): 112-140 (2022)Tracking User Attention in Collaborative Tagging Communities., , and . CAMA, volume 266 of CEUR Workshop Proceedings, page 11-18. CEUR-WS.org, (2007)The Social World of Content Abusers in Community Question Answering., , , , and . WWW, page 570-580. ACM, (2015)Malicious and Low Credibility URLs on Twitter During the AstraZeneca COVID-19 Vaccine Development., , , , , and . SBP-BRiMS, volume 12720 of Lecture Notes in Computer Science, page 3-12. Springer, (2021)The Future is Big Graphs! A Community View on Graph Processing Systems., , , , , , , , , and 31 other author(s). CoRR, (2020)How Influential Are You: Detecting Influential Bloggers in a Blogging Community., , , and . SocInfo, volume 7710 of Lecture Notes in Computer Science, page 29-42. Springer, (2012)Privacy Concerns vs. User Behavior in Community Question Answering., , , and . ASONAM, page 681-688. ACM, (2015)Prometheus: User-Controlled P2P Social Data Management for Socially-Aware Applications., , , , , and . Middleware, volume 6452 of Lecture Notes in Computer Science, page 212-231. Springer, (2010)K-path centrality: a new centrality measure in social networks., , , , and . SNS, page 1. ACM, (2011)