A Collective synchronous behavior model on social media

Victor C. Liang; Vincent To Yee Ng

doi:10.1145/2390131.2390134

A Collective synchronous behavior model on social media

Victor C. Liang, Vincent To Yee Ng

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Collective synchronous behavior is a pervasive phenomenon that we can discover in nature and virtual social media. Traditional data mining methods, however, mainly concentrate on analysis of individual behavior. In sociology, many well-known models are not suitable for the social media environment as well, in which huge amounts of data are generated everyday. In this paper, we proposed an innovative model that consists of multiple hidden Markov chains. By learning from the observations from a group of people, our model can not only predict the steady future state of a collective, but also measure the dependency property, reactive factor, of individuals. Experiment result shows that our model has ability to distinguish the behaviors of different persons.

Original language	English
Title of host publication	DUBMMSM'12 - Proceedings of the 2012 ACM Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, Co-located with CIKM 2012
Pages	3-6
Number of pages	4
DOIs	https://doi.org/10.1145/2390131.2390134
Publication status	Published - 10 Dec 2012
Event	2012 ACM Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMMSM 2012, Co-located with 21st ACM Conference on Information and Knowledge Management, CIKM 2012 - Maui, HI, United States Duration: 29 Oct 2012 → 29 Oct 2012

Conference

Conference	2012 ACM Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMMSM 2012, Co-located with 21st ACM Conference on Information and Knowledge Management, CIKM 2012
Country/Territory	United States
City	Maui, HI
Period	29/10/12 → 29/10/12

Keywords

Collective synchronous behavior
Hidden Markov model
Reactive factor
Social media

ASJC Scopus subject areas

General Business,Management and Accounting
General Decision Sciences

More information

10.1145/2390131.2390134

Cite this

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title = "A Collective synchronous behavior model on social media",

abstract = "Collective synchronous behavior is a pervasive phenomenon that we can discover in nature and virtual social media. Traditional data mining methods, however, mainly concentrate on analysis of individual behavior. In sociology, many well-known models are not suitable for the social media environment as well, in which huge amounts of data are generated everyday. In this paper, we proposed an innovative model that consists of multiple hidden Markov chains. By learning from the observations from a group of people, our model can not only predict the steady future state of a collective, but also measure the dependency property, reactive factor, of individuals. Experiment result shows that our model has ability to distinguish the behaviors of different persons.",

keywords = "Collective synchronous behavior, Hidden Markov model, Reactive factor, Social media",

author = "Liang, {Victor C.} and Ng, {Vincent To Yee}",

year = "2012",

month = dec,

day = "10",

doi = "10.1145/2390131.2390134",

language = "English",

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booktitle = "DUBMMSM'12 - Proceedings of the 2012 ACM Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, Co-located with CIKM 2012",

note = "2012 ACM Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMMSM 2012, Co-located with 21st ACM Conference on Information and Knowledge Management, CIKM 2012 ; Conference date: 29-10-2012 Through 29-10-2012",

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Liang, VC & Ng, VTY 2012, A Collective synchronous behavior model on social media. in DUBMMSM'12 - Proceedings of the 2012 ACM Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, Co-located with CIKM 2012. pp. 3-6, 2012 ACM Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, DUBMMSM 2012, Co-located with 21st ACM Conference on Information and Knowledge Management, CIKM 2012, Maui, HI, United States, 29/10/12. https://doi.org/10.1145/2390131.2390134

A Collective synchronous behavior model on social media. / Liang, Victor C.; Ng, Vincent To Yee.
DUBMMSM'12 - Proceedings of the 2012 ACM Workshop on Data-Driven User Behavioral Modeling and Mining from Social Media, Co-located with CIKM 2012. 2012. p. 3-6.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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A Collective synchronous behavior model on social media

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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