Identifying the topic-specific influential users and opinion leaders in Twitter
Files
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. ACTA Press. , 106-113
https://fount.aucegypt.edu/faculty_book_chapters/586
MLA Citation
Shalaby, May, et al.
Identifying the topic-specific influential users and opinion leaders in Twitter. ACTA Press, 2013.pp. 106-113
https://fount.aucegypt.edu/faculty_book_chapters/586