@inproceedings{40b4064533b2450e93949012ea367d35,
title = "Modelling Spatial Information Diffusion",
abstract = "This paper develops an open source toolkit SocialNetworkSimulator to model social networks based on a group of tweets with the keyword of {\textquoteleft}Charlotesville{\textquoteright}, a topic vividly discussed over Twitter on the movement {\textquoteleft}Unite the Right rally{\textquoteright} 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.",
keywords = "Information diffusion, Social network, Space, Time",
author = "Zhuo Chen and Xinyue Ye",
note = "Funding Information: Acknowledgements. 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. Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 ; Conference date: 10-12-2019 Through 12-12-2019",
year = "2020",
doi = "10.1007/978-3-030-36687-2_28",
language = "English (US)",
isbn = "9783030366865",
series = "Studies in Computational Intelligence",
publisher = "Springer",
pages = "337--348",
editor = "Hocine Cherifi and Sabrina Gaito and Mendes, {Jos{\'e} Fernendo} and Esteban Moro and Rocha, {Luis Mateus}",
booktitle = "Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019",
}