A short-term prediction model of topic popularity on microblogs

Juanjuan Zhao; Weili Wu; Xiaolong Zhang; Yan Qiang; Tao Liu; Lidong Wu

doi:10.1007/978-3-642-38768-5_69

A short-term prediction model of topic popularity on microblogs

Juanjuan Zhao, Weili Wu, Xiaolong Zhang, Yan Qiang, Tao Liu, Lidong Wu

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

Abstract

Online social networks can be used as networks of human sensors to detect important events. It is important to detect important events as early as possible. Microblogs provide a new communication and information sharing platform for people to report daily-life events, and express their views on various issues. Because of the quickness of microblogs, microblog data can be used to predict popular topics. In this paper, we propose a short-term prediction model of topic popularity. With data from Sina Weibo, the most popular microblog service in China, we test our algorithm and our data shows that the proposed model could give a short-term prediction on topic popularity.

Original language	English (US)
Title of host publication	Computing and Combinatorics - 19th International Conference, COCOON 2013, Proceedings
Pages	759-769
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-642-38768-5_69
State	Published - 2013
Event	19th International Computing and Combinatorics Conference, COCOON 2013 - Hangzhou, China Duration: Jun 21 2013 → Jun 21 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7936 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	19th International Computing and Combinatorics Conference, COCOON 2013
Country/Territory	China
City	Hangzhou
Period	6/21/13 → 6/21/13

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-38768-5_69

Cite this

Zhao, J., Wu, W., Zhang, X., Qiang, Y., Liu, T., & Wu, L. (2013). A short-term prediction model of topic popularity on microblogs. In Computing and Combinatorics - 19th International Conference, COCOON 2013, Proceedings (pp. 759-769). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7936 LNCS). https://doi.org/10.1007/978-3-642-38768-5_69

@inproceedings{dba71b1ac42c4d058313837be74eddb3,

title = "A short-term prediction model of topic popularity on microblogs",

abstract = "Online social networks can be used as networks of human sensors to detect important events. It is important to detect important events as early as possible. Microblogs provide a new communication and information sharing platform for people to report daily-life events, and express their views on various issues. Because of the quickness of microblogs, microblog data can be used to predict popular topics. In this paper, we propose a short-term prediction model of topic popularity. With data from Sina Weibo, the most popular microblog service in China, we test our algorithm and our data shows that the proposed model could give a short-term prediction on topic popularity.",

author = "Juanjuan Zhao and Weili Wu and Xiaolong Zhang and Yan Qiang and Tao Liu and Lidong Wu",

year = "2013",

doi = "10.1007/978-3-642-38768-5_69",

language = "English (US)",

isbn = "9783642387678",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "759--769",

booktitle = "Computing and Combinatorics - 19th International Conference, COCOON 2013, Proceedings",

note = "19th International Computing and Combinatorics Conference, COCOON 2013 ; Conference date: 21-06-2013 Through 21-06-2013",

}

Zhao, J, Wu, W, Zhang, X, Qiang, Y, Liu, T & Wu, L 2013, A short-term prediction model of topic popularity on microblogs. in Computing and Combinatorics - 19th International Conference, COCOON 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7936 LNCS, pp. 759-769, 19th International Computing and Combinatorics Conference, COCOON 2013, Hangzhou, China, 6/21/13. https://doi.org/10.1007/978-3-642-38768-5_69

A short-term prediction model of topic popularity on microblogs. / Zhao, Juanjuan; Wu, Weili; Zhang, Xiaolong et al.
Computing and Combinatorics - 19th International Conference, COCOON 2013, Proceedings. 2013. p. 759-769 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7936 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A short-term prediction model of topic popularity on microblogs

AU - Zhao, Juanjuan

AU - Wu, Weili

AU - Zhang, Xiaolong

AU - Qiang, Yan

AU - Liu, Tao

AU - Wu, Lidong

PY - 2013

Y1 - 2013

N2 - Online social networks can be used as networks of human sensors to detect important events. It is important to detect important events as early as possible. Microblogs provide a new communication and information sharing platform for people to report daily-life events, and express their views on various issues. Because of the quickness of microblogs, microblog data can be used to predict popular topics. In this paper, we propose a short-term prediction model of topic popularity. With data from Sina Weibo, the most popular microblog service in China, we test our algorithm and our data shows that the proposed model could give a short-term prediction on topic popularity.

AB - Online social networks can be used as networks of human sensors to detect important events. It is important to detect important events as early as possible. Microblogs provide a new communication and information sharing platform for people to report daily-life events, and express their views on various issues. Because of the quickness of microblogs, microblog data can be used to predict popular topics. In this paper, we propose a short-term prediction model of topic popularity. With data from Sina Weibo, the most popular microblog service in China, we test our algorithm and our data shows that the proposed model could give a short-term prediction on topic popularity.

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SN - 9783642387678

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 759

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BT - Computing and Combinatorics - 19th International Conference, COCOON 2013, Proceedings

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Zhao J, Wu W, Zhang X, Qiang Y, Liu T, Wu L. A short-term prediction model of topic popularity on microblogs. In Computing and Combinatorics - 19th International Conference, COCOON 2013, Proceedings. 2013. p. 759-769. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-38768-5_69

A short-term prediction model of topic popularity on microblogs

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