Cited By
View all- Fu XLi JYang KCui LYang L(2016)Dynamic Online HDP model for discovering evolutionary topics from Chinese social textsNeurocomputing10.1016/j.neucom.2015.06.047171:C(412-424)Online publication date: 1-Jan-2016
How to Become a More Popular Thread on Tianya Club
Authors: 
Jindong Chen, Lina Cao, Xijin TangAuthors Info & Claims
Jindong Chen, Lina Cao, Xijin TangAuthors Info & ClaimsPages 1 - 2
Abstract
In Bulletin Board System, when an author submits a post to start a thread, what kinds of elements affect the popularity of this thread? To address this issue, Tianya Zatan board of Tianya Club is selected as data source for this study. Through database and online data, the daily new threads with high degree of online interactions in 2012 are collected for analysis. To explore the key elements relating to the popularity of thread, several elements are analyzed using different methods: the topics of original posts are based on Latent Dirichlet Allocation, the high frequency words of titles, the basic features (the length of titles, the titles with/without picture information, and the length of the content of original posts) and reply modes are based on statistics. Finally, several practical tips for an author to promote the popularity of the thread are given.
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- How to Become a More Popular Thread on Tianya Club
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How to Become a More Popular Thread on Tianya Club
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Information
Published In
August 2014
115 pages
ISBN:9781450328883
DOI:10.1145/2639968
- General Chairs:
- Su Yang,
- Kristina Lerman,
- Program Chairs:
- James She,
- Martin Atzmueller
Copyright © 2014 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 04 August 2014
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Cited By
View all- Fu XLi JYang KCui LYang L(2016)Dynamic Online HDP model for discovering evolutionary topics from Chinese social textsNeurocomputing10.1016/j.neucom.2015.06.047171:C(412-424)Online publication date: 1-Jan-2016
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