Identifying the topic-specific influential users and opinion leaders in Twitter

Chapter Title

Identifying the topic-specific influential users and opinion leaders in Twitter

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Department

Computer Science & Engineering Department

Description

[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

Identifying the topic-specific influential users and opinion leaders in Twitter

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