A spatiotemporal model of twitter information diffusion

An example of egyptian revolution 2011

Kyounghee Kwon, Haiyan Wang, Ross Raymond, Weiai Wayne Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Recent social movements demonstrate an important role of social media information diffusion in promoting social changes. Transnational information diffusion may be influenced by spatial proximity between the origin nation and other parts of the world. Proximity implies more than just physical distance. This paper develops a mathematical spatiotemporal diffusion model based on partial differential equations, called "diffusion-advection" model. The model is applied to four sets of global spatial arrangements, respectively based on geographical, ideological, economic and diaspora perspective on proximity. Twitter data on Egyptian Revolution 2011 is used for the model validation. The developed model shows an acceptable accuracy rate. Among the different definition of proximity, ideology-based arrangement (i.e., democracy) explained most effectively the spatial diffusion process over the course of the revolution, showing that different types of messages are diffused at a different pace.

Original languageEnglish (US)
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Volume2015-July
ISBN (Print)9781450339230
DOIs
StatePublished - Jul 27 2015
EventInternational Conference on Social Media and Society, SMSociety 2015 - Toronto, Canada
Duration: Jul 27 2015Jul 29 2015

Other

OtherInternational Conference on Social Media and Society, SMSociety 2015
CountryCanada
CityToronto
Period7/27/157/29/15

Fingerprint

Advection
Partial differential equations
Economics

Keywords

  • Egyptian revolution
  • Global networks
  • Partial differential equation
  • Protest mobilization
  • Social media
  • Spatiotemporal information diffusion
  • Twitter

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Kwon, K., Wang, H., Raymond, R., & Xu, W. W. (2015). A spatiotemporal model of twitter information diffusion: An example of egyptian revolution 2011. In ACM International Conference Proceeding Series (Vol. 2015-July). [a4] Association for Computing Machinery. https://doi.org/10.1145/2789187.2789205

A spatiotemporal model of twitter information diffusion : An example of egyptian revolution 2011. / Kwon, Kyounghee; Wang, Haiyan; Raymond, Ross; Xu, Weiai Wayne.

ACM International Conference Proceeding Series. Vol. 2015-July Association for Computing Machinery, 2015. a4.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kwon, K, Wang, H, Raymond, R & Xu, WW 2015, A spatiotemporal model of twitter information diffusion: An example of egyptian revolution 2011. in ACM International Conference Proceeding Series. vol. 2015-July, a4, Association for Computing Machinery, International Conference on Social Media and Society, SMSociety 2015, Toronto, Canada, 7/27/15. https://doi.org/10.1145/2789187.2789205
Kwon K, Wang H, Raymond R, Xu WW. A spatiotemporal model of twitter information diffusion: An example of egyptian revolution 2011. In ACM International Conference Proceeding Series. Vol. 2015-July. Association for Computing Machinery. 2015. a4 https://doi.org/10.1145/2789187.2789205
Kwon, Kyounghee ; Wang, Haiyan ; Raymond, Ross ; Xu, Weiai Wayne. / A spatiotemporal model of twitter information diffusion : An example of egyptian revolution 2011. ACM International Conference Proceeding Series. Vol. 2015-July Association for Computing Machinery, 2015.
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