Characterizing and modeling the dynamics of cyber movements

Wang Xiao; Zeng Ke

doi:10.1109/SOLI.2013.6611429

Characterizing and modeling the dynamics of cyber movements

Wang Xiao
, Zeng Ke

School of Mechanical Engineering

CAS - Institute of Automation

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

Abstract

The availability of data from online social media has recently created unprecedented opportunities to explore human and social phenomena on a global scale. In this paper, we provide a quantitive, large scale, temporal analysis of the dynamics of online collective behavior in a specific cyber movement on Tianyacn, and point out that particle swarm theory can be used to model and simulate the variable interactions between cyber movement participants. This model updates each participant's position in accordance with two factors: historical experience accumulation and social interaction, and highlighting their importance in driving the dynamics of cyber movements.

Original language	English
Title of host publication	Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013
Pages	297-301
Number of pages	5
DOIs	https://doi.org/10.1109/SOLI.2013.6611429
State	Published - 2013
Event	2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013 - Dongguan, China Duration: 28 Jul 2013 → 30 Jul 2013

Publication series

Name	Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013

Conference

Conference	2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013
Country/Territory	China
City	Dongguan
Period	28/07/13 → 30/07/13

Keywords

Dynamics of cyber movement
collective behavior
particle swarm theory
social phenomena

Access to Document

10.1109/SOLI.2013.6611429

Cite this

Xiao, W., & Ke, Z. (2013). Characterizing and modeling the dynamics of cyber movements. In Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013 (pp. 297-301). Article 6611429 (Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013). https://doi.org/10.1109/SOLI.2013.6611429

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title = "Characterizing and modeling the dynamics of cyber movements",

abstract = "The availability of data from online social media has recently created unprecedented opportunities to explore human and social phenomena on a global scale. In this paper, we provide a quantitive, large scale, temporal analysis of the dynamics of online collective behavior in a specific cyber movement on Tianyacn, and point out that particle swarm theory can be used to model and simulate the variable interactions between cyber movement participants. This model updates each participant's position in accordance with two factors: historical experience accumulation and social interaction, and highlighting their importance in driving the dynamics of cyber movements.",

keywords = "Dynamics of cyber movement, collective behavior, particle swarm theory, social phenomena",

author = "Wang Xiao and Zeng Ke",

year = "2013",

doi = "10.1109/SOLI.2013.6611429",

language = "英语",

isbn = "9781479905300",

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pages = "297--301",

booktitle = "Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013",

note = "2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013 ; Conference date: 28-07-2013 Through 30-07-2013",

}

Xiao, W & Ke, Z 2013, Characterizing and modeling the dynamics of cyber movements. in Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013., 6611429, Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013, pp. 297-301, 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013, Dongguan, China, 28/07/13. https://doi.org/10.1109/SOLI.2013.6611429

Characterizing and modeling the dynamics of cyber movements. / Xiao, Wang; Ke, Zeng.
Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013. 2013. p. 297-301 6611429 (Proceedings of 2013 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2013).

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

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AB - The availability of data from online social media has recently created unprecedented opportunities to explore human and social phenomena on a global scale. In this paper, we provide a quantitive, large scale, temporal analysis of the dynamics of online collective behavior in a specific cyber movement on Tianyacn, and point out that particle swarm theory can be used to model and simulate the variable interactions between cyber movement participants. This model updates each participant's position in accordance with two factors: historical experience accumulation and social interaction, and highlighting their importance in driving the dynamics of cyber movements.

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Y2 - 28 July 2013 through 30 July 2013

ER -

Characterizing and modeling the dynamics of cyber movements

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Keywords

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