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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 28 / No. 1: Twenty-Eighth AAAI Conference On Artificial Intelligence

Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach

March 8, 2023

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Authors

Nian Liu

Wuhan University of Technology


Lin Li

Wuhan University of Technology


Guandong Xu

University of Technology, Sydney


Zhenglu Yang

Nankai University


DOI:

10.1609/aaai.v28i1.9083


Abstract:

Users of a social network like to follow the posts published by influential users. Such posts usually are delivered quickly and thus will produce a strong influence on public opinions. In this paper, we focus on the problem of identifying domain-dependent influential users(or topic experts). Some of traditional approaches are based on the post contents of users user’s to identify influential users, which may be biased by spammers who try to make posts related to some topics through a simple copy and paste. Others make use of user authentication information given by a service platform or user self description (introduction or label) in finding influential users. However, what users have published is not necessarily related to what they have registed and described. In addition, if there is no comments from other users, it’s less objective to assess a user’s post quality. To improve effectiveness of recognizing influential users in a topic of microblogs, we propose a post-feature based approach which is supplementary to post-content based approaches. Our experimental results show that the post-feature based approach produces relatively higher precision than that of the content based approach.

Topics: AAAI

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HOW TO CITE:

Nian Liu|| Lin Li|| Guandong Xu|| Zhenglu Yang Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach Proceedings of the AAAI Conference on Artificial Intelligence, 28 (2014) .

Nian Liu|| Lin Li|| Guandong Xu|| Zhenglu Yang Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach AAAI 2014, .

Nian Liu|| Lin Li|| Guandong Xu|| Zhenglu Yang (2014). Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach. Proceedings of the AAAI Conference on Artificial Intelligence, 28, .

Nian Liu|| Lin Li|| Guandong Xu|| Zhenglu Yang. Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach. Proceedings of the AAAI Conference on Artificial Intelligence, 28 2014 p..

Nian Liu|| Lin Li|| Guandong Xu|| Zhenglu Yang. 2014. Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach. "Proceedings of the AAAI Conference on Artificial Intelligence, 28". .

Nian Liu|| Lin Li|| Guandong Xu|| Zhenglu Yang. (2014) "Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach", Proceedings of the AAAI Conference on Artificial Intelligence, 28, p.

Nian Liu|| Lin Li|| Guandong Xu|| Zhenglu Yang, "Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach", AAAI, p., 2014.

Nian Liu|| Lin Li|| Guandong Xu|| Zhenglu Yang. "Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach". Proceedings of the AAAI Conference on Artificial Intelligence, 28, 2014, p..

Nian Liu|| Lin Li|| Guandong Xu|| Zhenglu Yang. "Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach". Proceedings of the AAAI Conference on Artificial Intelligence, 28, (2014): .

Nian Liu|| Lin Li|| Guandong Xu|| Zhenglu Yang. Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach. AAAI[Internet]. 2014[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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