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New Insights and Methods For Predicting Face-To-Face Contacts., , , , and . ICWSM, The AAAI Press, (2013)Detecting Anomalies in Time-Varying Networks Using Tensor Decomposition., , , , and . ICDM Workshops, page 516-523. IEEE Computer Society, (2015)Torino (Italy) to host the 20th ACM Hypertext and Hypermedia Conference in June 2009., , and . SIGWEB Newsletter, 2008 (Autumn): 2:1-2:2 (2008)Predicting Demographics, Moral Foundations, and Human Values from Digital Behaviors., , , , and . CoRR, (2017)Collaborative Tagging and Semiotic Dynamics, , and . CoRR, (2006)Time-varying social networks in a graph database: a Neo4j use case., , , and . GRADES, page 11. CWI/ACM, (2013)Is Web Content a Good Proxy for Real-Life Interaction?: A Case Study Considering Online and Offline Interactions of Computer Scientists., , , , , , and . ASONAM, page 697-704. ACM, (2015)08391 Group Summary - Mining for Social Serendipity., , , , , , , , and . Social Web Communities, volume 08391 of Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2008)Robust Modeling of Human Contact Networks Across Different Scales and Proximity-Sensing Techniques., , , , , and . SocInfo (1), volume 10539 of Lecture Notes in Computer Science, page 536-551. Springer, (2017)Anomaly Detection in Temporal Graph Data: An Iterative Tensor Decomposition and Masking Approach., , , , and . AALTD@PKDD/ECML, volume 1425 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)