Identifying the topic-specific influential users and opinion leaders in Twitter
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Department
Computer Science & Engineering Department
Abstract
[abstract not available]
Publication Date
4-3-2013
Document Type
Book Chapter
Book Title
IASTED Multiconferences - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2013
Editors
E.P. Klement, W. Borutzky, T. Fahringer, M.H. Hamza, V. Uskov
ISBN
SCOPUS_ID:84875502305
Publisher
ACTA Press
City
Calgary, AB
First Page
106
Last Page
113
Keywords
Intelligent data analysis, Pattern recognition, Twitter, User influence
Recommended Citation
APA Citation
Shalaby, M.
&
Rafea, A.
(2013). Identifying the topic-specific influential users and opinion leaders in Twitter. In E.P. Klement, W. Borutzky, T. Fahringer, M.H. Hamza, V. Uskov (Eds.), IASTED Multiconferences - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2013 (pp. 106-113). ACTA Press.
MLA Citation
Shalaby, May, et al.
"Identifying the topic-specific influential users and opinion leaders in Twitter." IASTED Multiconferences - Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2013, edited by E.P. Klement, W. Borutzky, T. Fahringer, M.H. Hamza, V. Uskov, ACTA Press, 2013. pp. 106-113