A framework for validating the merit of properties that predict the influence of a twitter user

Expert Systems with Applications

Volumn 42, Issue 5, 2015, Pages 2824-2834

  Räbiger, Stefan ^a   Spiliopoulou, Myra ^b  

^a SABANCI UNIVERSITY   (Turkey)

^b OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

Annotation of tweets; Community mining; Identification of influential users; Influential tweets; Influential users; Influential users in Twitter; Learning of influence; Mining; Properties of influential users; Twitter

Indexed keywords

MINING; SUPERVISED LEARNING;

ANNOTATION OF TWEETS; COMMUNITY MINING; INFLUENTIAL TWEETS; INFLUENTIAL USERS; LEARNING OF INFLUENCE; TWITTER;

SOCIAL NETWORKING (ONLINE);

EID: 84916910047     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.11.006     Document Type: Article

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