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Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels.

, , , and . IV, page 672-679. IEEE Computer Society, (2007)

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Visual Mining of Multi-Modal Social Networks at Different Abstraction Levels., , , and . IV, page 672-679. IEEE Computer Society, (2007)Detecting Aggregate Bursts from Scaled Bins within the Context of Privacy., and . ICDE Workshops, page 172-179. IEEE Computer Society, (2007)A first look at COVID-19 information and misinformation sharing on Twitter., , , , , , , , , and . CoRR, (2020)Helping Users Understand Their Web Footprints., , , , , , , , , and . WWW (Companion Volume), page 117-118. ACM, (2015)Generating Abstract Networks Using Multi-relational Biological Data., , , , and . IV, page 331-336. IEEE Computer Society, (2009)Visual analysis of dynamic group membership in temporal social networks., , and . SIGKDD Explor., 9 (2): 13-21 (2007)Anonymizing Query Logs by Differential Privacy., , and . SIGIR, page 753-756. ACM, (2016)Using substructure mining to identify misbehavior in network provenance graphs., , and . GRADES, page 6. CWI/ACM, (2013)Understanding the impact of sampling and noise on detecting events using twitter., and . IEEE BigData, page 4855-4857. IEEE Computer Society, (2017)C-GROUP: A Visual Analytic Tool for Pairwise Analysis of Dynamic Group Membership., , and . IEEE VAST, page 211-212. IEEE Computer Society, (2007)