#FluxFlow: Visual analysis of anomalous information spreading on social media

IEEE Transactions on Visualization and Computer Graphics

Volumn 20, Issue 12, 2014, Pages 1773-1782

  Zhao, Jian ^a   Cao, Nan ^b   Wen, Zhen ^b   Song, Yale ^c   Lin, Yu Ru ^d   Collins, Christopher ^e  

^a UNIVERSITY OF TORONTO   (Canada)

^b IBM T J WATSON RESEARCH CENTER   (United States)

^c MIT   (Canada)

^d UNIVERSITY OF PITTSBURGH   (United States)

^e UNIVERSITY OF ONTARIO INSTITUTE OF TECHNOLOGY   (Canada)

Author keywords

anomaly detection; information visualization; machine learning; Retweeting threads; social media; visual analytics

Indexed keywords

ANOMALY DETECTION; INFORMATION VISUALIZATION; RETWEETING THREADS; SOCIAL MEDIA; VISUAL ANALYTICS;

LEARNING SYSTEMS;

ALGORITHM; COMPUTER GRAPHICS; HUMAN; INFORMATION DISSEMINATION; INFORMATION SCIENCE; MACHINE LEARNING; PROCEDURES; SOCIAL MEDIA;

ALGORITHMS; COMPUTER GRAPHICS; HUMANS; INFORMATICS; INFORMATION DISSEMINATION; MACHINE LEARNING; SOCIAL MEDIA;

EID: 84910048383     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2014.2346922     Document Type: Article

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