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Incremental learning with latent factor models for attribute prediction in social-attribute networks., , and . EGC, volume E-26 of Revue des Nouvelles Technologies de l'Information, page 77-82. Hermann-Éditions, (2014)Énumération de motifs dans un graphe d'évolution de communautés (Pattern mining in community evolution graph)., , and . MARAMI, volume 2750 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Information integration for detecting communities in attributed graphs., and . CASoN, page 62-67. IEEE, (2013)Exploiting semantic web techniques for representing and utilising Folksonomies., and . MSM, page 9:1-9:8. ACM, (2010)MAD: Multi-Scale Anomaly Detection in Link Streams., , , and . WSDM, page 38-46. ACM, (2024)Analysing Peer Assessment Interactions and Their Temporal Dynamics Using a Graphlet-Based Method., , , , , and . EC-TEL, volume 12884 of Lecture Notes in Computer Science, page 82-95. Springer, (2021)Community detection methods can discover better structural clusters than ground-truth communities., , and . ASONAM, page 395-400. ACM, (2017)Transitive Reduction for Social Network Analysis and Visualization., and . Web Intelligence, page 128-131. IEEE Computer Society, (2005)Incremental Learning with Social Media Data to Predict Near Real-Time Events., , , and . Discovery Science, volume 8777 of Lecture Notes in Computer Science, page 180-191. Springer, (2014)How to Use Enriched Browsing Context to Personalize Web Site Access., and . CONTEXT, volume 2680 of Lecture Notes in Computer Science, page 419-426. Springer, (2003)