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Simulating the spatial diffusion of memes on social media networks

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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.
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Keywords: Spatial diffusion; agent-based modeling; memes; social media networks

Document Type: Research Article

Affiliations: 1: Henan Key Laboratory of Big Data Analysis and Processing, School of Computer and Information Engineering, Henan University, Kaifeng, Henan, China 2: Department of Geography, Kent State University, Kent, OH, USA 3: Department of Geography, San Diego State University, San Diego, CA, USA 4: Urban Informatics & Spatial Computing Lab, Department of Informatics, New Jersey Institute of Technology, Newark, NJ, USA

Publication date: August 3, 2019

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