Detecting social spam campaigns on Twitter

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7341 LNCS, Issue , 2012, Pages 455-472

  Chu, Zi ^a   Widjaja, Indra ^b   Wang, Haining ^a  

^a The College of William and Mary   (United States)

^b LUCENT TECHNOLOGIES   (United States)

Author keywords

Anomaly Detection; Machine Learning; Spam Detection; Twitter

Indexed keywords

ANOMALY DETECTION; AUTOMATIC CLASSIFICATION SYSTEMS; CLASSIFICATION SYSTEM; CONVENTIONAL DETECTION; CRITICAL STEPS; EXPERIMENTAL EVALUATION; MULTIPLE FEATURES; SOCIAL RELATIONSHIPS; SPAM DETECTION; SPAMMERS; TWITTER;

CRYPTOGRAPHY; LEARNING SYSTEMS; NETWORK SECURITY; SOCIAL NETWORKING (ONLINE); SPAMMING;

INTERNET;

EID: 84863431566     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31284-7_27     Document Type: Conference Paper

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