Abstract
This paper develops an open source toolkit SocialNetworkSimulator to model social networks based on a group of tweets with the keyword of ‘Charlotesville’, a topic vividly discussed over Twitter on the movement ‘Unite the Right rally’ occurred in Charlottesville, Virginia from August 11 to August 12, 2017. Both public attention value and geographical distance decay are demonstrated to show how temporal and spatial factors would influence such diffusion across social network.
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This material is partially based upon work supported by the National Science Foundation under Grant No. 1416509. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.
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Chen, Z., Ye, X. (2020). Modelling Spatial Information Diffusion. In: Cherifi, H., Gaito, S., Mendes, J., Moro, E., Rocha, L. (eds) Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol 881. Springer, Cham. https://doi.org/10.1007/978-3-030-36687-2_28
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DOI: https://doi.org/10.1007/978-3-030-36687-2_28
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