Simulating the spatial diffusion of memes on social media networks

Lanxue Dang, Zhuo Chen, Jay Lee, Ming Hsiang Tsou, Xinyue Ye

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

This article reports the findings from simulating the spatial diffusion processes of memes over social media networks by using the approach of agent-based modeling. Different from other studies, this article examines how space and distance affect the diffusion of memes. Simulations were carried out to emulate and to allow assessment of the different levels of efficiency that memes spread spatially and temporally. Analyzed network structures include random networks and preferential attachment networks. Simulated spatial processes for meme diffusion include independent cascade models and linear threshold models. Both simulated and real-world social networks were used in the analysis. Findings indicate that the numbers of information sources and opinion leaders affect the processes of meme diffusion. In addition, geography is still important in the processes of spatial diffusion of memes over social media networks.

Original languageEnglish (US)
Pages (from-to)1545-1568
Number of pages24
JournalInternational Journal of Geographical Information Science
Volume33
Issue number8
DOIs
StatePublished - Aug 3 2019

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Geography, Planning and Development
  • Library and Information Sciences

Keywords

  • Spatial diffusion
  • agent-based modeling
  • memes
  • social media networks

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